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ORCIDCoRR, December 2025
Volume 2025-01, January 2025
- Alba Cabrera-Codony, Abel Valverde, K. Born, O. A. I. Noreldin, Tim G. Myers:
Mathematical modelling of flow and adsorption in a gas chromatograph. - Alejandro Mata Ali, Edgar Mencia:
A QUBO Formulation for the Generalized Takuzu/LinkedIn Tango Game. - Ben Welsh, Naitian Zhou, Arda Kaz, Michael Vu, Alexander Spangher:
NewsHomepages: Homepage Layouts Capture Information Prioritization Decisions. - Stepan Margaryan:
Special Coverings of Sets and Boolean Functions. - Juliana Gerard, Sahajpreet Singh, Morgan Macleod, Michael McKay, Antoine Rivoire, Tanmoy Chakraborty, Muskaan Singh:
AI Across Borders: Exploring Perceptions and Interactions in Higher Education. - Linqin Wang, Yaping Liu, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Yuxin Huang, Wenjun Wang, Ling Dong:
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models. - Junchao Chen, Suyash Gupta, Daniel P. Hughes, Mohammad Sadoghi:
Did we miss P In CAP? Partial Progress Conjecture under Asynchrony. - Pranav Gupta:
A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages. - Jiapeng Xu:
Underutilization of Syntactic Processing by Chinese Learners of English in Comprehending English Sentences, Evidenced from Adapted Garden-Path Ambiguity Experiment. - Karthik S. Vedula, Annika Gupta, Akshay Swaminathan, Iván López, Suhana Bedi, Nigam H. Shah:
Distilling Large Language Models for Efficient Clinical Information Extraction. - Dibakar Gope, David Mansell, Danny Loh, Ian Bratt:
Highly Optimized Kernels and Fine-Grained Codebooks for LLM Inference on Arm CPUs. - Yuanbo Hou, Qiaoqiao Ren, Wenwu Wang, Dick Botteldooren:
Sound-Based Recognition of Touch Gestures and Emotions for Enhanced Human-Robot Interaction. - Krisvarish V, Priyadarshini T, K. P. Abhishek Sri Saai, Vaidehi Vijayakumar:
Resource-Efficient Transformer Architecture: Optimizing Memory and Execution Time for Real-Time Applications. - Saughmon Boujkian:
Cross-Linguistic Examination of Machine Translation Transfer Learning. - Juncheng Jiang, Dongdong Wan, Mengqi Zhang:
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning. - Aidan H. Chadha:
Stroke Prediction using Clinical and Social Features in Machine Learning. - Lamya Benaddi, Charaf Ouaddi, Adnane Souha, Abdeslam Jakimi, Mohamed Rahouti, Mohammed Aledhari, Diogo Oliveira, Brahim Ouchao:
Seq2Seq Model-Based Chatbot with LSTM and Attention Mechanism for Enhanced User Interaction. - Fernando Martinez-Lopez, Lesther Santana, Mohamed Rahouti:
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks. - Yu-Zheng Lin, Qinxuan Shi, Zhanglong Yang, Banafsheh Saber Latibari, Sicong Shao, Soheil Salehi, Pratik Satam:
DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework. - Nianli Peng, Yilin Wang:
Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games. - Mengnan Zhao, Lihe Zhang, Xingyi Yang, Tianhang Zheng, Baocai Yin:
AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors. - Miao Yu, Junfeng Fang, Yingjie Zhou, Xing Fan, Kun Wang, Shirui Pan, Qingsong Wen:
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models. - Mohamed R. Ibrahim, Terry J. Lyons:
Transforming CCTV cameras into N2 sensors at city scale for adaptive policymaking. - Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja:
VisTabNet: Adapting Vision Transformers for Tabular Data. - Ziye Chen, Hao Qi:
Large Language Models for Mathematical Analysis. - Zhengqi Xu, Han Zheng, Jie Song, Li Sun, Mingli Song:
Training-free Heterogeneous Model Merging. - James P. Beno:
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis. - Guangming Che:
"Generative Models for Financial Time Series Data: Enhancing Signal-to-Noise Ratio and Addressing Data Scarcity in A-Share Market. - Shijia Ge, Weixiang Zhang, Shuzhao Xie, Baixu Yan, Zhi Wang:
Lungmix: A Mixup-Based Strategy for Generalization in Respiratory Sound Classification. - Xi Chen, Yu Ji, Cong Xia, Wen Wu:
Predicting Preschoolers' Externalizing Problems with Mother-Child Interaction Dynamics and Deep Learning. - Bohdan Turbal, Anastasiia Mazur, Jiaxu Zhao, Mykola Pechenizkiy:
On Adversarial Robustness of Language Models in Transfer Learning. - G. Belokrylov, A. Korenev, B. Lodonova, A. Novokhrestov:
Ensemble of classifiers for speech evaluation. - Chiyu Cheng, Chang Zhou, Yang Zhao, Jin Cao:
Dynamic Optimization of Storage Systems Using Reinforcement Learning Techniques. - Arinbjörn Kolbeinsson, Benedikt Kolbeinsson:
Adversarial Negotiation Dynamics in Generative Language Models. - Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka:
ICLR: In-Context Learning of Representations. - Hefei Li, Chao Peng, Chenyang Xu, Zhengfeng Yang:
Open-Book Neural Algorithmic Reasoning. - Chunsheng Zuo, Pavel Guerzhoy, Michael Guerzhoy:
Position Information Emerges in Causal Transformers Without Positional Encodings via Similarity of Nearby Embeddings. - Steve Mann, Martin Cooper, Bran Ferren, Thomas M. Coughlin, Paul Travers:
Advancing Technology for Humanity and Earth (+Water+Air). - Jungsik Hwang, Ahmadreza Ahmadi:
A Novel Framework for Learning Stochastic Representations for Sequence Generation and Recognition. - Niels Justesen, Maria Kaselimi, Sam Snodgrass, Miruna Vozaru, Matthew Schlegel, Jonas Wingren, Gabriella A. B. Barros, Tobias Mahlmann, Shyam Sudhakaran, Wesley Kerr, Albert Wang, Christoffer Holmgård, Georgios N. Yannakakis, Sebastian Risi, Julian Togelius:
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors. - Ehsan Latif, Ying Chen, Xiaoming Zhai, Yue Yin:
Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review. - Yuan-Hao Jiang, Ruijia Li, Yizhou Zhou, Changyong Qi, Hanglei Hu, Yuang Wei, Bo Jiang, Yonghe Wu:
AI Agent for Education: von Neumann Multi-Agent System Framework. - Krish Jain, Joann Sum, Pranav Kapoor, Amir Eaman:
Machine Learning-Based Security Policy Analysis. - Mourad Heddaya, Kyle MacMillan, Anup Malani, Hongyuan Mei, Chenhao Tan:
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions. - Yoav HaCohen, Nisan Chiprut, Benny Brazowski, Daniel Shalem, Dudu Moshe, Eitan Richardson, Eran Levin, Guy Shiran, Nir Zabari, Ori Gordon, Poriya Panet, Sapir Weissbuch, Victor Kulikov, Yaki Bitterman, Zeev Melumian, Ofir Bibi:
LTX-Video: Realtime Video Latent Diffusion. - Jingwen Tan, Gopi Krishnan Rajbahadur, Zi Li, Xiangfu Song, Jianshan Lin, Dan Li, Zibin Zheng, Ahmed E. Hassan:
LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance. - Jihan Ghanim, Mariette Awad:
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework. - Andrea Giusti:
Modelling and Control of Spatial Behaviours in Multi-Agent Systems with Applications to Biology and Robotics. - Luís Cunha, Mário Medina:
Binary Jumbled Indexing: Suffix tree histogram. - Max Asselmeier, Ye Zhao, Patricio A. Vela:
Steppability-informed Quadrupedal Contact Planning through Deep Visual Search Heuristics. - Yixian Shen, Hang Zhang, Yanxin Shen, Lun Wang, Chuanqi Shi, Shaoshuai Du, Yiyi Tao:
AltGen: AI-Driven Alt Text Generation for Enhancing EPUB Accessibility. - Xiaozhou You, Jian Zhang:
Text-to-Image GAN with Pretrained Representations. - Haitao Wang, Yiming Zhao:
Dynamic Unit-Disk Range Reporting. - Jiaojiao Ye, Zhen Wang, Linnan Jiang:
PQD: Post-training Quantization for Efficient Diffusion Models. - Lohith Senthilkumar, Tim Menzies:
Can Large Language Models Improve SE Active Learning via Warm-Starts? - Julia Ive, Paulina Bondaronek, Vishal Yadav, Daniel Santel, Tracy A. Glauser, Tina Cheng, Jeffrey R. Strawn, Greeshma A. Agasthya, Jordan Tschida, Sanghyun Choo, Mayanka Chandrashekar, Anuj J. Kapadia, John Pestian:
A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection. - Taniya Das, Louis Mahon, Thomas Lukasiewicz:
Detection-Fusion for Knowledge Graph Extraction from Videos. - Uros Mlakar, Iztok Fister Jr., Iztok Fister:
NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines. - Jeremy Klotz, Shree K. Nayar:
Minimalist Vision with Freeform Pixels. - Art B. Owen:
Error estimation for quasi-Monte Carlo. - Jiayu Song, Mahmud Elahi Akhter, Dana Atzil-Slonim, Maria Liakata:
Temporal reasoning for timeline summarisation in social media. - Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel:
Probabilistic Explanations for Linear Models. - Kleanthis Malialis, Nefeli Mavri, Stelios G. Vrachimis, Marios S. Kyriakou, Demetrios G. Eliades, Marios M. Polycarpou:
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas. - David Goll, Jobst Heitzig, Wolfram Barfuss:
Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations. - Clément Dallard, Maël Dumas, Claire Hilaire, Anthony Perez:
Sufficient conditions for polynomial-time detection of induced minors. - Akul Goyal, Carl Edwards:
Class-based Subset Selection for Transfer Learning under Extreme Label Shift. - Subramaniam Vincent, Phoebe Wang, Zhan Shi, Sahas Koka, Yi Fang:
Measuring Large Language Models Capacity to Annotate Journalistic Sourcing. - Ben McClusky:
Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning. - Costas Kravaris:
On Functional Observability of Nonlinear Systems and the Design of Functional Observers with Assignable Error Dynamics. - Mykola Maslych, Christian Pumarada, Amirpouya Ghasemaghaei, Joseph J. LaViola Jr.:
Takeaways from Applying LLM Capabilities to Multiple Conversational Avatars in a VR Pilot Study. - Nick Papoulias:
DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments. - Hongrui Shi, Valentin Radu, Po Yang:
Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection. - Marco Siino, Ilenia Tinnirello, Marco La Cascia:
The Text Classification Pipeline: Starting Shallow going Deeper. - Céline Vanini, Jan Gruber, Christopher Hargreaves, Zinaida Benenson, Felix C. Freiling, Frank Breitinger:
Strategies and Challenges of Timestamp Tampering for Improved Digital Forensic Event Reconstruction (extended version). - Amirhossein Nadiri, Jing Li, Ali Faraji, Ghadeer Abuoda, Manos Papagelis:
TrajLearn: Trajectory Prediction Learning using Deep Generative Models. - Dmytro Tymoshchuk, Vasyl Yatskiv, Vitaliy Tymoshchuk, Nataliya Yatskiv:
Interactive cybersecurity training system based on simulation environments. - Changchang Yin, Shihan Fu, Bingsheng Yao, Thai-Hoang Pham, Weidan Cao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang:
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction. - Giacomo Como, Fabio Fagnani, Leonardo Massai, Martina Vanelli:
Equilibria in Network Constrained Markets with Market Maker. - Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain:
MLLM-as-a-Judge for Image Safety without Human Labeling. - Jianan Wu, Ahmet Yusuf Salim, Eslam Elmitwalli, Selçuk Köse, Zeljko Ignjatovic:
A Pseudo-random Number Generator for Multi-Sequence Generation with Programmable Statistics. - Qiaoyi Fang, Weiyu Du, Hang Wang, Junshan Zhang:
Towards Unraveling and Improving Generalization in World Models. - Giuliano Lorenzoni, Pedro Elkind Velmovitsky, Paulo Alencar, Donald D. Cowan:
GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study. - Duo Zhou, Christopher Brix, Grani A. Hanasusanto, Huan Zhang:
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes. - Hammad Ather, Jean Luca Bez, Chen Wang, Hank Childs, Allen D. Malony, Suren Byna:
Parallel I/O Characterization and Optimization on Large-Scale HPC Systems: A 360-Degree Survey. - Tingxuan Wu, Zhaorui Ma, Yanjun Cui, Ziyi Zhou, Eric Wang:
MSM-BD: Multimodal Social Media Bot Detection Using Heterogeneous Information. - Anastasiia Tkachenko, Haitao Wang:
Dominating Set, Independent Set, Discrete k-Center, Dispersion, and Related Problems for Planar Points in Convex Position. - Moaiz Abrar, Yusuf Sermet, Ibrahim Demir:
An Empirical Evaluation of Large Language Models on Consumer Health Questions. - Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu:
Debunking the CUDA Myth Towards GPU-based AI Systems. - Jinyuan Chen:
OciorMVBA: Near-Optimal Error-Free Asynchronous MVBA. - Peishen Yan, Jun Li, Hao Wang, Tao Song, Yang Hua, Peng Lu, Haihui Zhou, Haibing Guan:
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding. - Betim Sherifi, Khaled Slhoub, Fitzroy Nembhard:
The Potential of LLMs in Automating Software Testing: From Generation to Reporting. - Max T. M. Ng, Hani S. Mahmassani:
Autonomous Minibus Service with Semi-on-demand Routes in Grid Networks. - Zixuan Yin, Han Sun, Ningzhong Liu, Huiyu Zhou, Jiaquan Shen:
DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion. - Michael N. Gubanov, Anna Pyayt, Aleksandra Karolak:
CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care. - Hikari Tomita, Nobuhiro Nakamura, Shoichi Ishida, Toshio Kamiya, Kei Terayama:
Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices. - Tadahiro Taniguchi, Ryo Ueda, Tomoaki Nakamura, Masahiro Suzuki, Akira Taniguchi:
Generative Emergent Communication: Large Language Model is a Collective World Model. - Yupei Zhang, Ruojia Feng, Yifei Wang, Xuequn Shang:
Federated Deep Subspace Clustering. - Fabian Retkowski, Alexander Waibel:
Zero-Shot Strategies for Length-Controllable Summarization. - Wei Chen, Yi Zhou:
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning. - Giuliano Lorenzoni, Ivens Portugal, Paulo Alencar, Donald D. Cowan:
Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT. - Edwin Arkel Rios, Jansen Christopher Yuanda, Vincent Leon Ghanz, Cheng-Wei Yu, Bo-Cheng Lai, Min-Chun Hu:
Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition. - Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen:
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. - Geonho Hwang, Yesom Park, Yueun Lee, Jooyoung Hahn, Myungjoo Kang:
Localized Estimation of Condition Numbers for MILU Preconditioners on a Graph. - Ramla Ijaz, Kevin Boos, Lin Zhong:
Combining Type Checking and Formal Verification for Lightweight OS Correctness. - Fariba Fateh:
A Universal Controller for Grid-Tied Inverters. - Jiasheng Zhang, Deqiang Ouyang, Shuang Liang, Jie Shao:
Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion. - Zongbiao Li, Xiezhao Li, Yinghao Cui, Yijun Chen, Zhixuan Gu, Yuxuan Liu, Wenbo Zhu, Fei Jia, Ke Liu, Qifeng Li, Junyao Zhan, Jiangtao Zhou, Chenxi Zhang, Qike Liu:
Automatically Planning Optimal Parallel Strategy for Large Language Models. - Raymond Bernard, Shaina Raza, Subhabrata Das, Rahul Murugan:
EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta. - Mehran Ebrahimi, Hyunmin Cheong, Pradeep Kumar Jayaraman, Farhad Javid:
Optimal design of frame structures with mixed categorical and continuous design variables using the Gumbel-Softmax method. - Diksha Goel:
Detection and Prevention of Smishing Attacks. - Syed Atif Ali, Salwa Din:
Collaborative Approaches to Enhancing Smart Vehicle Cybersecurity by AI-Driven Threat Detection. - Oraib Dawaghreh, Sharaf K. Magableh, Xuesong Wang, Mohammad Adnan Magableh, Caisheng Wang:
Integrating Cascade Pumped Micro-Hydro Storage: A Sustainable Approach to Energy and Water Management. - Kai Du, Lei Li, Yongle Xie, Yang Yu:
A structure-preserving collisional particle method for the Landau kinetic equation. - Syed Atif Ali, Salwa Din:
Enhancing Wireless Sensor Network Security through Integration with the ServiceNow Cloud Platform. - Rajat Talak, Charis Georgiou, Jingnan Shi, Luca Carlone:
Outlier-Robust Training of Machine Learning Models. - Mehran Ebrahimi, Adrian Butscher, Hyunmin Cheong:
A low order, torsion deformable spatial beam element based on the absolute nodal coordinate formulation and Bishop frame. - Ben Malin, Tatiana Kalganova, Nikoloas Boulgouris:
A review of faithfulness metrics for hallucination assessment in Large Language Models. - Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan:
Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs. - Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie:
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. - Sabah Al-Fedaghi:
Conceptual Modeling and Classification of Events. - Junjie Li:
Performant Automatic BLAS Offloading on Unified Memory Architecture with OpenMP First-Touch Style Data Movement. - Jiawei Wu, Masahito Hayashi, Marco Tomamichel:
String commitment from unstructured noisy channels. - Yagna Kaasaragadda, Silvija Kokalj-Filipovic:
ReFormer: Generating Radio Fakes for Data Augmentation. - Chunyang Liao:
Solving Partial Differential Equations with Random Feature Models. - Zijie Li, Henry Li, Yichun Shi, Amir Barati Farimani, Yuval Kluger, Linjie Yang, Peng Wang:
Dual Diffusion for Unified Image Generation and Understanding. - Ashay Athalye, Nishanth Kumar, Tom Silver, Yichao Liang, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Predicate Invention from Pixels via Pretrained Vision-Language Models. - Huanting Wang, Patrick Lenihan, Zheng Wang:
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization. - Haocheng Guo, Yaqiong Zhang, Lieyang Chen, Arfat Ahmad Khan:
Research on vehicle detection based on improved YOLOv8 network. - Shi-Feng Peng, Guolei Sun, Yong Li, Hongsong Wang, Guo-Sen Xie:
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation. - Zhaobin Mo, Haotian Xiang, Xuan Di:
diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs. - Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang:
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction. - Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang:
Retrieval-Augmented Generation with Graphs (GraphRAG). - Feng Wu, Yuelin Zhao, Li Zhu:
Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions. - Chuxiong Sun, Peng He, Qirui Ji, Zehua Zang, Jiangmeng Li, Rui Wang, Wei Wang:
M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. - Jiexin Wang, Yiju Guo, Bing Su:
Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction. - Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez, Md Hasebul Hasan, Md Almash Alam, Muhammad Aamir Cheema, Mohammed Eunus Ali, Md Rizwan Parvez:
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models. - Jiexin Wang, Yiju Guo, Bing Su:
Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction. - Jicheol Park, Boseung Jeong, Dongwon Kim, Suha Kwak:
Improving Text-based Person Search via Part-level Cross-modal Correspondence. - Haibo Tong, Enmeng Lu, Yinqian Sun, Zhengqiang Han, Chao Liu, Feifei Zhao, Yi Zeng:
Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind. - Ling Fu, Biao Yang, Zhebin Kuang, Jiajun Song, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Mingxin Huang, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai:
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning. - Runnan Chen, Xiangyu Sun, Zhaoqing Wang, Youquan Liu, Jiepeng Wang, Lingdong Kong, Jiankang Deng, Mingming Gong, Liang Pan, Wenping Wang, Tongliang Liu:
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies. - Hoang Long Vu, Phuong Tuan Dat, Pham Thao Nhi, Nguyen Song Hao, Nguyen Thi Thu Trang:
VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition. - Hebin Wang, Yangning Li, Yinghui Li, Hai-Tao Zheng, Wenhao Jiang, Hong-Gee Kim:
Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion. - Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou:
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. - Ding Zhang, Yangning Li, Lichen Bai, Hao Zhang, Yinghui Li, Haiye Lin, Hai-Tao Zheng, Xin Su, Zifei Shan:
Loss-Aware Curriculum Learning for Chinese Grammatical Error Correction. - Mitali Bafna, Dor Minzer:
Constant Degree Networks for Almost-Everywhere Reliable Transmission. - Kainan Liu, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao:
Rethinking Layer Removal: Preserving Critical Components with Task-Aware Singular Value Decomposition. - Haifeng Zhao, Yuguang Jin, Leilei Ma:
Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning. - Yiwen Wang, Siyuan Chen, Ran Yi:
SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians. - Yanhong Li, Karen Livescu, Jiawei Zhou:
Chunk-Distilled Language Modeling. - Elena Beretta, Maolin Deng, Alberto Gandolfi, Bangti Jin:
The discrete inverse conductivity problem solved by the weights of an interpretable neural network. - Xiaolei Wang, Xiaoyang Wang, Huihui Bai, Eng Gee Lim, Jimin Xiao:
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection. - Qi Zhang, Huamin Wang, Hangchi Shen, Shukai Duan, Shiping Wen, Tingwen Huang:
Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification. - Runnan Chen, Zhaoqing Wang, Jiepeng Wang, Yuexin Ma, Mingming Gong, Wenping Wang, Tongliang Liu:
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM. - Wanlong Liu, Junying Chen, Ke Ji, Li Zhou, Wenyu Chen, Benyou Wang:
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions. - Heng Zhao, Sheng Cen, Yifei Zhu:
The Space above the Sky: Uniting Global-Scale Ground Station as a Service for Efficient Orbital Data Processing. - Ilan Schvartzman, Roei Sarussi, Maor Ashkenazi, Ido kringel, Yaniv Tocker, Tal Furman Shohet:
A New Dataset and Methodology for Malicious URL Classification. - Yue Fan, Xiaojian Ma, Rongpeng Su, Jun Guo, Rujie Wu, Xi Chen, Qing Li:
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding. - Zhiting He, Jiayi Su, Li Chen, Tianqi Wang, Ray LC:
"I Recall the Past": Exploring How People Collaborate with Generative AI to Create Cultural Heritage Narratives. - Dawen Yu, Shunping Ji:
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images. - Xiaoning Dong, Peilin Xin, Wei Xu:
SPDZCoder: Teaching LLMs to Synthesize Privacy Computing Code without Massive Training Data. - Leo Ardon, Daniel Furelos-Blanco, Roko Parac, Alessandra Russo:
FORM: Learning Expressive and Transferable First-Order Logic Reward Machines. - Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying:
Low-Rank Adaptation for Foundation Models: A Comprehensive Review. - Yifan Tian, Yixin Liu, Yi Bu, Jiqun Liu:
Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models. - Ahmet Astar, Ozan Nurcan, Erk Demirel, Emir Ozen, Ozan Kutlar, Fabio Stroppa:
Design Optimizer for Soft Growing Robot Manipulators in Three-Dimensional Environments. - Derya Malak:
Structured Codes for Distributed Matrix Multiplication. - Roberto Pegurri, Francesco Linsalata, Eugenio Moro, Jakob Hoydis, Umberto Spagnolini:
Toward Digital Network Twins: Integrating Sionna RT in ns-3 for 6G Multi-RAT Networks Simulations. - Evelyn Zhang, Bang Xiao, Jiayi Tang, Qianli Ma, Chang Zou, Xuefei Ning, Xuming Hu, Linfeng Zhang:
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free. - Sijing Xie, Dingzhu Wen, Xiaonan Liu, Changsheng You, Tharmalingam Ratnarajah, Kaibin Huang:
Federated Dropout: Convergence Analysis and Resource Allocation. - Ondrej Bajgar, Sid William Gould, Rohan Narayan Langford Mitta, Jonathon Liu, Oliver Newcombe, Jack Golden:
Toward Information Theoretic Active Inverse Reinforcement Learning. - Xingyu Bruce Liu, Shitao Fang, Weiyan Shi, Chien-Sheng Wu, Takeo Igarashi, Xiang 'Anthony' Chen:
Proactive Conversational Agents with Inner Thoughts. - Rui Xia, Yanhua Cheng, Yongxiang Tang, Xiaocheng Liu, Xialong Liu, Lisong Wang, Peng Jiang:
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain. - Roy Steinberg, Kiril Solovey:
Impossibility of Self-Organized Aggregation without Computation. - Raphael Schlattmann, Malte Vogl:
Trajectories of Change: Approaches for Tracking Knowledge Evolution. - Wenkai Tu, Guojia Wan, Zhengchun Shang, Bo Du:
Efficient Relational Context Perception for Knowledge Graph Completion. - Nishit Anand, Ashish Seth, Ramani Duraiswami, Dinesh Manocha:
TSPE: Task-Specific Prompt Ensemble for Improved Zero-Shot Audio Classification. - Liangcheng Han, Haifan Yin, Mengying Gao, Rui Zhang:
Movable Superdirective Pairs: A Phase Shifter-Free Approach to mmWave Communications. - Hiroyuki Masuyama:
PureRank: A Parameter-Free Recursive Importance Measure for Network Nodes. - Martin Pawelczyk, Lillian Sun, Zhenting Qi, Aounon Kumar, Himabindu Lakkaraju:
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models. - Fangchen Yu, Ruilizhen Hu, Yidong Lin, Yuqi Ma, Zhenghao Huang, Wenye Li:
KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning. - Vinay Kanakeri, Aritra Mitra:
Outlier-Robust Linear System Identification Under Heavy-tailed Noise. - Or Haim Anidjar, Revital Marbel, Roi Yozevitch:
Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages. - Junmin Cai, Han Sun, Ningzhong Liu:
B2Net: Camouflaged Object Detection via Boundary Aware and Boundary Fusion. - Chengbo He, Bochao Zou, Xin Li, Jiansheng Chen, Junliang Xing, Huimin Ma:
Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents. - Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models. - Jinwuk Seok, Changsik Cho:
Intuitive Analysis of the Quantization-based Optimization: From Stochastic and Quantum Mechanical Perspective. - Jianjie Luo, Jingwen Chen, Yehao Li, Yingwei Pan, Jianlin Feng, Hongyang Chao, Ting Yao:
Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning. - Jie Ying, Tiantian Zhu, Aohan Zheng, Tieming Chen, Mingqi Lv, Yan Chen:
METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift. - Elizaveta Ivanchik, Alexander Hvatov:
Knowledge-aware equation discovery with automated background knowledge extraction. - Jie Ying, Tiantian Zhu, Mingqi Lv, Tieming Chen:
DEHYDRATOR: Enhancing Provenance Graph Storage via Hierarchical Encoding and Sequence Generation. - Rodrigo Bernal, Federico Milano:
A Complex Frequency-Based Control for Inverter-Based Resources. - Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Yung-Hui Chen, Jia-Rou Lin, Andrew Chih-Wei Huang:
Do Students with Different Personality Traits Demonstrate Different Physiological Signals in Video-based Learning? - Vasco Brattka, Hendrik Smischliaew:
Computability of Initial Value Problems. - Pratik Nag:
Unrolled Creative Adversarial Network For Generating Novel Musical Pieces. - Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao:
Differentiable Prompt Learning for Vision Language Models. - Sherwin Varghese, James Tian:
Efficient support ticket resolution using Knowledge Graphs. - Lu Zhang, Liang Zeng:
SAT-LDM: Provably Generalizable Image Watermarking for Latent Diffusion Models with Self-Augmented Training. - Kiswendsida K. Kabore, Désiré Guel:
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection. - Saugat Kannojia, Anirudh Praveen, Danish Vasdev, Saket Nandedkar, Divyansh Mittal, Sarthak Kalankar, Shaurya Johari, Vipul Arora:
Dementia Detection using Multi-modal Methods on Audio Data. - Ahmed Aloui, Ali Hasan, Juncheng Dong, Zihao Wu, Vahid Tarokh:
Score-Based Metropolis-Hastings Algorithms. - Yunyou Huang, Jiahui Zhao, Dandan Cui, Zhengxin Yang, Bingjie Xia, Qi Liang, Wenjing Liu, Li Ma, Suqin Tang, Tianyong Hao, Zhifei Zhang, Wanling Gao, Jianfeng Zhan:
Quantifying the Dynamics of Harm Caused by Retracted Research. - Sushil Ghildiyal, Kishankumar Bhimani, Manimozhi M:
Design To Convert a Wired PLC into Wireless PLC. - Mohamadamin Rajabinezhad, Nesa Shams, Asad Ali Khan, Omar Ali Beg, Shan Zuo:
Lyapunov-based Resilient Secondary Synchronization Strategy of AC Microgrids Under Exponentially Energy-Unbounded FDI Attacks. - Yaroslav Petrukhin:
A Binary Quantifier for Definite Descriptions in Nelsonian Free Logic. - Norihiro Kamide:
Twist Sequent Calculi for S4 and its Neighbors. - Tomoaki Kawano:
Nested-sequent Calculus for Modal Logic MB. - Jirí Raclavský:
Two Cases of Deduction with Non-referring Descriptions. - Takahiro Sawasaki:
Semantic Incompleteness of Liberman et al. (2020)'s Hilbert-style System for Term-modal Logic K with Equality and Non-rigid Terms. - Akinori Maniwa, Ryo Kashima:
Syntactic Cut-Elimination for Provability Logic GL via Nested Sequents. - Bartosz Wieckowski:
Incomplete Descriptions and Qualified Definiteness. - Amir Karniel, Michael Kaminski:
Many-Valued Modal Logic. - Marcelo E. Coniglio, Pawel Pawlowski, Daniel Skurt:
Modal Logics - RNmatrices vs. Nmatrices. - Pawel Placzek:
Complexity of Nonassociative Lambek Calculus with classical logic. - Norihiro Kamide, Sara Negri:
A Unified Gentzen-style Framework for Until-free LTL. - Satoru Niki, Hitoshi Omori:
Kamide is in America, Moisil and Leitgeb are in Australia. - Norihiro Kamide:
Unified Gentzen Approach to Connexive Logics over Wansing's C. - Hitoshi Omori, Jonas R. Becker Arenhart:
The Power of Generalized Clemens Semantics. - Hitoshi Omori, Jonas R. Becker Arenhart:
A note on Grigoriev and Zaitsev's system CNL24. - Hitoshi Omori:
The Disjunction-Free Fragment of D2 is Three-Valued. - Miro Miranda, Marcela Charfuelan, Andreas Dengel:
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting. - Nermin Covic, Bakir Lacevic, Dinko Osmankovic, Tarik Uzunovic:
Real-Time Sampling-Based Safe Motion Planning for Robotic Manipulators in Dynamic Environments. - Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma:
Active Learning of General Halfspaces: Label Queries vs Membership Queries. - Liam Lonergan, Ibon Saratxaga, John Sloan, Oscar Maharog, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide:
Fotheidil: an Automatic Transcription System for the Irish Language. - Zhaoliang Wan, Yonggen Ling, Senlin Yi, Lu Qi, Wangwei Lee, Minglei Lu, Sicheng Yang, Xiao Teng, Peng Lu, Xu Yang, Ming-Hsuan Yang, Hui Cheng:
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception. - Jiseok Chae, Chulhee Yun, Donghwan Kim:
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements. - Yifan Xu, Xinhao Li, Yichun Yang, Rui Huang, Limin Wang:
Fine-grained Video-Text Retrieval: A New Benchmark and Method. - Keke Zhai:
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense. - Bao Q. Bui, Tien T. T. Nguyen, Duy M. Le, Cong Tran, Cuong Pham:
Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques. - Ke Yang, Volodymyr V. Kindratenko, ChengXiang Zhai:
TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment. - Kewei Zhou, Ziming Wang, Zhihao Chen, Xin Wang:
Event-Triggered Observer-Based Fixed-Time Consensus Control for Uncertain Nonlinear Multiagent Systems with Unknown States. - Cheng Yuan, Jian Jiang, Kunyi Yang, Lv Wu, Rui Wang, Zi Meng, Haonan Ping, Ziyu Xu, Yifan Zhou, Wanli Song, Hesheng Wang, Qi Dou, Yutong Ban:
Is Segment Anything Model 2 All You Need for Surgery Video Segmentation? A Systematic Evaluation. - Madeleine Darbyshire, Elizabeth Sklar, Simon Parsons:
Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves. - AmirHosein Rostami, Sepand Haghighi, Sadra Sabouri, Alireza Zolanvari:
PyMilo: A Python Library for ML I/O. - Yomal De Mel, Kasun Wickramasinghe, Nisansa de Silva, Surangika Ranathunga:
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches. - Ayoub Ben Chaliah, Hela Dellagi:
Superposition in Transformers: A Novel Way of Building Mixture of Experts. - Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald D. Cowan:
Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study. - Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu:
Rapid Learning in Constrained Minimax Games with Negative Momentum. - Amira Jemaa, Adnan Rashid, Sofiène Tahar:
Extending XReason: Formal Explanations for Adversarial Detection. - Md. Tarek Hasan, Arifa Akter, Mohammad Nazmush Shamael, Md Al Emran Hossain, H. M. Mutasim Billah, Sumayra Islam, Swakkhar Shatabda:
Adaptive Tabu Dropout for Regularization of Deep Neural Network. - Stefan Szeider:
MCP-Solver: Integrating Language Models with Constraint Programming Systems. - Adnan Rashid, Sa'ed Abed, Osman Hasan:
Formalization of Biological Circuit Block Diagrams for formally analyzing Biomedical Control Systems in pHRI Applications. - Zeping Sui, Hien Quoc Ngo, Michail Matthaiou, Lajos Hanzo:
Performance Analysis and Optimization of STAR-RIS-Aided Cell-Free Massive MIMO Systems Relying on Imperfect Hardware. - Mehrdad Salimnejad, Nikolaos Pappas, Marios Kountouris:
So Timely, Yet So Stale: The Impact of Clock Drift in Real-Time Systems. - Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolò Dalmasso, Natraj Raman, Sumitra Ganesh:
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs. - Ahmad Mustapha, Hadi Al-Khansa, Hadi Al-Mubasher, Aya Mourad, Ranam Hamoud, Hasan El-Husseini, Marwah Al-Sakkaf, Mariette Awad:
AraSTEM: A Native Arabic Multiple Choice Question Benchmark for Evaluating LLMs Knowledge In STEM Subjects. - Mingqi Gao, Yixin Liu, Xinyu Hu, Xiaojun Wan, Jonathan Bragg, Arman Cohan:
Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference. - Hashmath Shaik, Alex Doboli:
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems. - Tiange Luo, Ang Cao, Gunhee Lee, Justin Johnson, Honglak Lee:
Probing Visual Language Priors in VLMs. - Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Yihua Huang:
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities. - Xinhao Li, Yi Wang, Jiashuo Yu, Xiangyu Zeng, Yuhan Zhu, Haian Huang, Jianfei Gao, Kunchang Li, Yinan He, Chenting Wang, Yu Qiao, Yali Wang, Limin Wang:
VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling. - Yipeng Kang, Junqi Wang, Yexin Li, Fangwei Zhong, Xue Feng, Mengmeng Wang, Wenming Tu, Quansen Wang, Hengli Li, Zilong Zheng:
Causal Graph Guided Steering of LLM Values via Prompts and Sparse Autoencoders. - Zhenpeng Huang, Xinhao Li, Jiaqi Li, Jing Wang, Xiangyu Zeng, Cheng Liang, Tao Wu, Xi Chen, Liang Li, Limin Wang:
Online Video Understanding: A Comprehensive Benchmark and Memory-Augmented Method. - Edgar Guzman, Robert D. Howe:
Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM. - Yi Zhang, Mohamadamin Rajabinezhad, Yichao Wang, Junbo Zhao, Shan Zuo:
Privacy-Preserving Distributed Defense Framework for DC Microgrids Against Exponentially Unbounded False Data Injection Attacks. - M. Ali Bayram, Ali Arda Fincan, Ahmet Semih Gümüs, Banu Diri, Savas Yildirim, Öner Aytas:
Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation. - Abdullah Alchihabi, Yuhong Guo:
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion. - Kateryna Melnyk, Lee Friedman, Dmytro Katrychuk, Oleg Komogortsev:
Gaze Prediction as a Function of Eye Movement Type and Individual Differences. - David Gros:
"Dialogue" vs "Dialog" in NLP and AI research: Statistics from a Confused Discourse. - Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang, Long Li, Xin Li, Deli Zhao, Wenqiao Zhang, Yueting Zhuang, Jianke Zhu, Lidong Bing:
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM. - Jiageng Mao, Boyi Li, Boris Ivanovic, Yuxiao Chen, Yan Wang, Yurong You, Chaowei Xiao, Danfei Xu, Marco Pavone, Yue Wang:
DreamDrive: Generative 4D Scene Modeling from Street View Images. - Jiawei Yang, Jiahui Huang, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Péter Karkus, Danfei Xu, Boris Ivanovic, Yue Wang, Marco Pavone:
STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes. - Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen:
DiC: Rethinking Conv3x3 Designs in Diffusion Models. - Amirhossein Javaheri, Jiaxi Ying, Daniel P. Palomar, Farokh Marvasti:
Time-Varying Graph Learning for Data with Heavy-Tailed Distribution. - Tomasz Rutowski, Amir Harati, Yang Lu, Elizabeth Shriberg:
Optimizing Speech-Input Length for Speaker-Independent Depression Classification. - David Cohen, Julián A. Norato:
Optimal design of triply-periodic minimal surface implants for bone repair. - Luis A. Lastras, Barry M. Trager, Jonathan Lenchner, Wojciech Szpankowski, Chai Wah Wu, Mark S. Squillante, Alexander Gray:
Breaking through the classical Shannon entropy limit: A new frontier through logical semantics. - Geoffery Agorku, Sarah Hernandez, Maria Falquez, Subhadipto Poddar, Shihao Pang:
Predicting Barge Presence and Quantity on Inland Waterways using Vessel Tracking Data: A Machine Learning Approach. - Tomek Rutowski, Amir Harati, Elizabeth Shriberg, Yang Lu, Piotr Chlebek, Ricardo Oliveira:
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language. - Sarah M. Hooper, Hui Xue:
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis. - Taejoon Kim, Haiyan Wang:
Global dense vector representations for words or items using shared parameter alternating Tweedie model. - Kyle Gao, Liangzhi Li, Hongjie He, Dening Lu, Linlin Xu, Jonathan Li:
Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting. - Taejoon Kim, Haiyan Wang:
Matrix factorization and prediction for high dimensional co-occurrence count data via shared parameter alternating zero inflated Gamma model. - Keith G. Mills, Muhammad Fetrat Qharabagh, Weichen Qiu, Fred X. Han, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
Applying Graph Explanation to Operator Fusion. - Tianfu Wang, Mingyang Xie, Haoming Cai, Sachin Shah, Christopher A. Metzler:
Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion Separation. - Mark Zakharov, Farzaneh Rabiei Kashanaki, Jose Renau:
Enabling New HDLs with Agents. - Daniel B. Hier, Michael D. Carrithers, Thanh Son Do, Tayo Obafemi-Ajayi:
Efficient Standardization of Clinical Notes using Large Language Models. - Kim Sung-Bin, Kim Jun-Seong, Junseok Ko, Yewon Kim, Tae-Hyun Oh:
SoundBrush: Sound as a Brush for Visual Scene Editing. - Suttisak Wizadwongsa, Jinfan Zhou, Edward Li, Jeong Joon Park:
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models. - Xindi Wu, Mengzhou Xia, Rulin Shao, Zhiwei Deng, Pang Wei Koh, Olga Russakovsky:
ICONS: Influence Consensus for Vision-Language Data Selection. - Davide Italiano, Chris Cummins:
Finding Missed Code Size Optimizations in Compilers using LLMs. - Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi:
2 OLMo 2 Furious. - Nicholas B. Andrews, Kristi A. Morgansen:
Relative Pose Observability Analysis Using Dual Quaternions. - Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li:
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. - Kazuki Irie:
Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph. - Ali Behrouz, Peilin Zhong, Vahab Mirrokni:
Titans: Learning to Memorize at Test Time. - Phuc Nguyen, Miao Li, Alexandra Morgan, Rima Arnaout, Ramy Arnaout:
Grade Inflation in Generative Models. - El Houcine El Fatimi:
Leaf diseases detection using deep learning methods. - Akash Kumar Panda, Bart Kosko:
Controlled Causal Hallucinations Can Estimate Phantom Nodes in Multiexpert Mixtures of Fuzzy Cognitive Maps. - Amir Mohammad Ebrahimi, Bram Adams, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in Ethereum. - HanQin Cai, Chandra Kundu, Jialin Liu, Wotao Yin:
Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery. - Florian Dietz, Dietrich Klakow:
IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently. - Md. Rakibul Hasan, Yue Yao, Md. Zakir Hossain, Aneesh Krishna, Imre Rudas, Shafin Rahman, Tom Gedeon:
Labels Generated by Large Language Model Helps Measuring People's Empathy in Vitro. - Xingzi Xu, Amir Tavanaei, Kavosh Asadi, Karim Bouyarmane:
Adjoint sharding for very long context training of state space models. - Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Quyang Pan, Bo Gao, Tian Wen:
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration. - Chethan Bhateja, Joseph O'Brien, Afnaan Hashmi, Eva Prakash:
Cost and Reward Infused Metric Elicitation. - Michael Bennie, Demi Zhang, Bushi Xiao, Jing Cao, Chryseis Xinyi Liu, Jian Meng, Alayo Tripp:
PANDA - Paired Anti-hate Narratives Dataset from Asia: Using an LLM-as-a-Judge to Create the First Chinese Counterspeech Dataset. - Hao Wang, Cheng Deng, Zhidong Zhao:
Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection. - Yuanchao Xu, Kaidi Shao, Nikos K. Logothetis, Zhongwei Shen:
ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals. - Sarah Polson, Vadim Sokolov:
Kolmogorov GAM Networks are all you need! - Hui Zeng, Sanshuai Cui, Biwei Chen, Anjie Peng:
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability. - Muhieddine Shebaro, Jelena Tesic:
KAN KAN Buff Signed Graph Neural Networks? - Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang:
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding. - Michael Bennie, Bushi Xiao, Chryseis Xinyi Liu, Demi Zhang, Jian Meng, Alayo Tripp:
CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages. - Zhexiong Liu, Diane J. Litman, Elaine Wang, Tianwen Li, Mason Gobat, Lindsay Clare Matsumura, Richard Correnti:
eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback. - Nasit S. Sony:
An efficient validated asynchronous byzantine agreement protocol using committee. - Peihan Zhang, Bhathiya Rathnayake, Mamadou Diagne, Miroslav Krstic:
Performance-Barrier Event-Triggered PDE Control of Traffic Flow. - Tetsuya Hoya, Shunpei Morita:
Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network. - Chuanting Zhang, Haixia Zhang, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini:
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction. - Mayur Shirke, Amey Shembade, Madhushri Wagh, Pavan Thorat, Raviraj Joshi:
On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages. - Yuji Arima, Satoshi Kagiwada, Hitoshi Iyatomi:
DDD: Discriminative Difficulty Distance for plant disease diagnosis. - Jinrae Kim, John L. Bullock, Sheng Cheng, Naira Hovakimyan:
Smooth Reference Command Generation and Control for Transition Flight of VTOL Aircraft Using Time-Varying Optimization. - Ruibin Li, Tao Yang, Song Guo, Lei Zhang:
RORem: Training a Robust Object Remover with Human-in-the-Loop. - Chuanzhi Xu, Langyi Chen, Vincent Qu, Haodong Chen, Vera Chung:
Towards End-to-End Neuromorphic Voxel-based 3D Object Reconstruction Without Physical Priors. - Yequan Zhao, Xian Xiao, Antoine Descos, Yuan Yuan, Xinling Yu, Geza Kurczveil, Marco Fiorentino, Zheng Zhang, Raymond G. Beausoleil:
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training. - Mengran Li, Chaojun Ding, Junzhou Chen, Wenbin Xing, Cong Ye, Ronghui Zhang, Songlin Zhuang, Jia Hu, Tony Z. Qiu, Huijun Gao:
AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs. - Xiyang Hu:
Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines. - Yiwei Qin, Yixiu Liu, Pengfei Liu:
DIVE: Diversified Iterative Self-Improvement. - Cheonsu Jeong:
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform. - Suho Park, SuBeen Lee, Hyun Seok Seong, Jaejoon Yoo, Jae-Pil Heo:
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation. - Ben-Ao Dai, Nengchao Lyu, Yongchao Miao:
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting. - Dinesh P. Srivasthav, Manoj Apte:
Beyond Static Datasets: A Behavior-Driven Entity-Specific Simulation to Overcome Data Scarcity and Train Effective Crypto Anti-Money Laundering Models. - Chenlong Xu, Bineng Zhong, Qihua Liang, Yaozong Zheng, Guorong Li, Shuxiang Song:
Less is More: Token Context-aware Learning for Object Tracking. - Tianshi Zheng, Jiazheng Wang, Zihao Wang, Jiaxin Bai, Hang Yin, Zheye Deng, Yangqiu Song, Jianxin Li:
Enhancing Transformers for Generalizable First-Order Logical Entailment. - Ziang Chen, Zhengjiang Lin, Shi Chen, Yury Polyanskiy, Philippe Rigollet:
Residual connections provably mitigate oversmoothing in graph neural networks. - Yulong Li, Yuxuan Zhang, Feilong Tang, Mian Zhou, Zhixiang Lu, Haochen Xue, Yifang Wang, Kang Dang, Jionglong Su:
Beyond Words: AuralLLM and SignMST-C for Precise Sign Language Production and Bidirectional Accessibility. - Haoyang Li, Yuming Xu, Chen Jason Zhang, Alexander Zhou, Lei Chen, Qing Li:
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements. - Jie Gao, Zhiyao Shu, ShunYi Yeo:
Using Large Language Model to Support Flexible and Structural Inductive Qualitative Analysis. - Qianli Wang, Nils Feldhus, Simon Ostermann, Luis-Felipe Villa-Arenas, Sebastian Möller, Vera Schmitt:
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation. - Yuxuan Zhang, Yulong Li, Zichen Yu, Feilong Tang, Zhixiang Lu, Chong Li, Kang Dang, Jionglong Su:
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations. - Huyen Nguyen, Hieu Dam, Nguyen Do, Cong Tran, Cuong Pham:
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization. - Jingyuan Li, Wei Liu:
Solving McKean-Vlasov Equation by deep learning particle method. - Soumyadeep Sar, Dwaipayan Roy:
Navigating Nuance: In Quest for Political Truth. - Zhenghua Duan, Meng Li, Chunjie Zhou:
Solid-state dewetting of axisymmetric thin film on axisymmetric curved-surface substrates: modeling and simulation. - Yuzhi Lai, Shenghai Yuan, Youssef Nassar, Mingyu Fan, Atmaraaj Gopal, Akihiro Yorita, Naoyuki Kubota, Matthias Rätsch:
NMM-HRI: Natural Multi-modal Human-Robot Interaction with Voice and Deictic Posture via Large Language Model. - Minhao Bai, Jinshuai Yang, Kaiyi Pang, Yongfeng Huang, Yue Gao:
Shifting-Merging: Secure, High-Capacity and Efficient Steganography via Large Language Models. - Muhammet Anil Yagiz, Polat Goktas:
LENS-XAI: Redefining Lightweight and Explainable Network Security through Knowledge Distillation and Variational Autoencoders for Scalable Intrusion Detection in Cybersecurity. - Alfredo Cuzzocrea, Giovanni Pilato, Pablo García Bringas:
Creating, Using and Assessing a Generative-AI-Based Human-Chatbot-Dialogue Dataset with User-Interaction Learning Capabilities. - Binglu Wang, Yao Tian, Shunzhou Wang, Le Yang:
Multimodal Large Models Are Effective Action Anticipators. - Leonard Puskác, Marek Benovic, Jakub Breier, Xiaolu Hou:
Make Shuffling Great Again: A Side-Channel Resistant Fisher-Yates Algorithm for Protecting Neural Networks. - Samrat Mukhopadhyay, Debasmita Mukherjee:
Follow The Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation. - Jingyao Tang, Lishuang Li, Liteng Mi, Haiming Wu, Hongbin Lu:
Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning. - Erik Nguyen, Spencer Htin:
Regression Guided Strategy to Automated Facial Beauty Optimization through Image Synthesis. - Rui Yang, Xiaojun Wu, Shengfeng He:
MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-Self-Attention. - Itamar Shoshani, Ohad Shamir:
Hardness of Learning Fixed Parities with Neural Networks. - Xinru Meng, Han Sun, Jiamei Liu, Ningzhong Liu, Huiyu Zhou:
SPARNet: Continual Test-Time Adaptation via Sample Partitioning Strategy and Anti-Forgetting Regularization. - Han Xu, Mingqi Chen, Gaofeng Li, Lei Wei, Shichi Peng, Haoliang Xu, Qiang Li:
An Immersive Virtual Reality Bimanual Telerobotic System With Haptic Feedback. - Zhenyu Guo, Wenguang Chen:
Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention. - Rongke Liu:
Information Sifting Funnel: Privacy-preserving Collaborative Inference Against Model Inversion Attacks. - Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Andrew Chih-Wei Huang, Jia-Rou Lin:
Personalized Programming Education: Using Machine Learning to Boost Learning Performance Based on Students' Personality Traits. - Benjamin Icard, Evangelia Zve, Lila Sainero, Alice Breton, Jean-Gabriel Ganascia:
Embedding Style Beyond Topics: Analyzing Dispersion Effects Across Different Language Models. - Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang:
An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems. - Adam Ishay, Joohyung Lee:
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions. - Deepu Benson, Balagopal Komarath, Jayalal Sarma, Nalli Sai Soumya:
Hazard-free Decision Trees. - Gur Elkin, Ofir Itzhak Shahar, Yaniv Ohayon, Nadav Alali, Ohad Ben-Shahar:
Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation. - Qianang Zhou, Junhui Hou, Meiyi Yang, Yongjian Deng, Youfu Li, Junlin Xiong:
Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation. - Yulong Ye, Tao Chen, Miqing Li:
Distilled Lifelong Self-Adaptation for Configurable Systems. - Rui Meng, Song Gao, Dayu Fan, Haixiao Gao, Yining Wang, Xiaodong Xu, Bizhu Wang, Suyu Lv, Zhidi Zhang, Mengying Sun, Shujun Han, Chen Dong, Xiaofeng Tao, Ping Zhang:
A Survey of Secure Semantic Communications. - Nathanael L. Baisa:
FusionSORT: Fusion Methods for Online Multi-object Visual Tracking. - Yiming Zhang, Zicheng Zhang, Xinyi Wei, Xiaohong Liu, Guangtao Zhai, Xiongkuo Min:
IllusionBench: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models. - Luigi C. Berselli, Alex Kaltenbach, Seungchan Ko:
Error analysis for a fully-discrete finite element approximation of the unsteady p(·,·)-Stokes equations. - Kun Li, George Vosselman, Michael Ying Yang:
Scale-wise Bidirectional Alignment Network for Referring Remote Sensing Image Segmentation. - Van Quang Nguyen, Quoc Chuong Nguyen, Thu Huong Dang, Truong-Son Hy:
Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems. - Lynnette Hui Xian Ng, Kathleen M. Carley:
What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics. - Hashim A. Hashim:
Advances in UAV Avionics Systems Architecture, Classification and Integration: A Comprehensive Review and Future Perspectives. - Abdoul Karim A. H. Saliah, Hajar El Hammouti, Daniel Bonilla Licea:
Harnessing the Potential of Omnidirectional UAVs in RIS-Enabled Wireless Networks. - Yongjie Yang:
On the Parameterized Complexity of Controlling Amendment and Successive Winners. - Tian Zheng, Xurong Xie, Xiaolan Peng, Hui Chen, Feng Tian:
Alzheimer's disease detection based on large language model prompt engineering. - Wei Shao, Mingyang Liu, Linqi Song:
DiffETM: Diffusion Process Enhanced Embedded Topic Model. - Nicholas Magal, Minh Tran, Riku Arakawa, Suzanne Nie:
Negative to Positive Co-learning with Aggressive Modality Dropout. - Mihnea C. Moldoveanu, George Siemens:
Interactionalism: Re-Designing Higher Learning for the Large Language Agent Era. - Shoutao Guo, Shaolei Zhang, Zhengrui Ma, Yang Feng:
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation. - Yi Zhang, Bin Lei, Mohamadamin Rajabinezhad, Caiwen Ding, Shan Zuo:
Observer-Based Data-Driven Consensus Control for Nonlinear Multi-Agent Systems against DoS and FDI attacks. - Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li:
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation. - Hieu Man, Nghia Trung Ngo, Viet Dac Lai, Ryan A. Rossi, Franck Dernoncourt, Thien Huu Nguyen:
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models. - Bingyu Li, Da Zhang, Zhiyuan Zhao, Junyu Gao, Xuelong Li:
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation. - Huichi Zhou, Kin-Hei Lee, Zhonghao Zhan, Yue Chen, Zhenhao Li, Zhaoyang Wang, Hamed Haddadi, Emine Yilmaz:
TrustRAG: Enhancing Robustness and Trustworthiness in RAG. - Teng Hu, Jiangning Zhang, Ran Yi, Jieyu Weng, Yabiao Wang, Xianfang Zeng, Zhucun Xue, Lizhuang Ma:
Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction. - Fouad Bousetouane:
Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents. - Libin Lan, Lu Jiang, Tianshu Yu, Xiaojuan Liu, Zhongshi He:
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization. - Yuang Chen, Chengdi Lu, Yongsheng Huang, Chang Wu, Fengqian Guo, Hancheng Lu, Chang Wen Chen:
DMSA: A Decentralized Microservice Architecture for Edge Networks. - Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong:
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. - Cameron C. Yetman:
Representation in large language models. - Travis Askham, Jeremy G. Hoskins, Peter Nekrasov, Manas Rachh:
Integral equations for flexural-gravity waves: analysis and numerical methods. - Weiqi Wu, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Hai Zhao:
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization. - Syamantak Datta Gupta:
Evaluating Time Series Foundation Models on Noisy Periodic Time Series. - Ouhan Huang, Huanle Rao, Xiaowen Cai, Tianyun Wang, Aolong Sun, Sizhe Xing, Yifan Sun, Gangyong Jia:
Spatial Temporal Attention based Target Vehicle Trajectory Prediction for Internet of Vehicles. - Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui:
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts. - Chenyang Liu, Keyan Chen, Rui Zhao, Zhengxia Zou, Zhenwei Shi:
Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model. - Lloyd N. Trefethen:
Numerical computation of the Schwarz function. - Lloyd N. Trefethen:
Rational approximation. - Talha Zeeshan, Abhishek Kumar, Susanna Pirttikangas, Sasu Tarkoma:
Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things. - Jiaxin Song, Xinyu Wang, Yihao Wang, Yifan Tang, Ru Zhang, Jianyi Liu, Gongshen Liu:
U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario. - Dongnan Xia, Cunhua Pan, Hong Ren, Zhiyuan Yu, Yasheng Jin, Jiangzhou Wang:
RIS-Aided Integrated Sensing and Communication Systems under Dual-polarized Channels. - Yang Li, Meng Han, Zhenyu Bi, Ingolv T. Urnes, Haipeng Chen:
Population Aware Diffusion for Time Series Generation. - David Wu, Sanjiban Choudhury:
Aligning LLMs with Domain Invariant Reward Models. - Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell:
AutoPresent: Designing Structured Visuals from Scratch. - Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller:
β-DQN: Improving Deep Q-Learning By Evolving the Behavior. - Julia Briden, Breanna Johnson, Richard Linares, Abhishek Cauligi:
Diffusion Policies for Generative Modeling of Spacecraft Trajectories. - Emily Johnson, Noah Wilson:
Hierarchical Vision-Language Alignment for Text-to-Image Generation via Diffusion Models. - Nahid Torbati, Michael Gaebler, Simon M. Hofmann, Nico Scherf:
Exploring Geometric Representational Alignment through Ollivier-Ricci Curvature and Ricci Flow. - Sakshi Garg, Jose Renau:
Aligning Netlist to Source Code using SynAlign. - Xiaoyi Wu, Bo Ji, Bin Li:
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit. - Michael Dinitz, George Z. Li, Quanquan C. Liu, Felix Zhou:
Differentially Private Matchings. - Mallika Garg, Debashis Ghosh, Pyari Mohan Pradhan:
Multiscaled Multi-Head Attention-based Video Transformer Network for Hand Gesture Recognition. - Oliver A. Krzysik, Ben S. Southworth, Bobby Philip:
Overlapping Schwarz methods are not anisotropy-robust multigrid smoothers. - Tiziano Piccardi, Robert West:
Navigating Knowledge: Patterns and Insights from Wikipedia Consumption. - Shihab Ahmed, A. B. M. Mohaimenur Rahman, Md. Morshed Alam, Md Sajidul Islam Sajid:
SPADE: Enhancing Adaptive Cyber Deception Strategies with Generative AI and Structured Prompt Engineering. - Junhuan Yang, Yuzhou Zhang, Yi Sheng, Youzuo Lin, Lei Yang:
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset. - Lukas Kuhn, Sari Sadiya, Jörg Schlötterer, Christin Seifert, Gemma Roig:
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers. - Hao Wang, Xiwen Chen, Ashish Bastola, Jiayou Qin, Abolfazl Razi:
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion. - Omid Saghatchian, Atiyeh Gh. Moghadam, Ahmad Nickabadi:
Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model. - Cleverson Veloso Nahum, Salvatore D'Oro, Pedro Batista, Cristiano Both, Kleber Vieira Cardoso, Aldebaro Klautau, Tommaso Melodia:
Intent-based Radio Scheduler for RAN Slicing: Learning to deal with different network scenarios. - Casey Kennington, Pierre Lison, David Schlangen:
Incremental Dialogue Management: Survey, Discussion, and Implications for HRI. - Junfeng Jiao, Saleh Afroogh, Kevin Chen, David Atkinson, Amit Dhurandhar:
Generative AI and LLMs in Industry: A text-mining Analysis and Critical Evaluation of Guidelines and Policy Statements Across Fourteen Industrial Sectors. - Wenqi Zhang, Hang Zhang, Xin Li, Jiashuo Sun, Yongliang Shen, Weiming Lu, Deli Zhao, Yueting Zhuang, Lidong Bing:
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining. - Junfeng Jiao, Saleh Afroogh, Kevin Chen, David Atkinson, Amit Dhurandhar:
IGGA: A Dataset of Industrial Guidelines and Policy Statements for Generative AIs. - Chenyu You, Haocheng Dai, Yifei Min, Jasjeet S. Sekhon, Sarang C. Joshi, James S. Duncan:
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations. - Sepehr Dehdashtian, Gautam Sreekumar, Vishnu Naresh Boddeti:
OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes. - Jasper Roe, Mike Perkins, Leon Furze:
From Assessment to Practice: Implementing the AIAS Framework in EFL Teaching and Learning. - Amir Mohammad Ebrahimi, Bram Adams, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
A Large-Scale Exploratory Study on the Proxy Pattern in Ethereum. - Yichao Wang, Mohamadamin Rajabinezhad, Rui Liu, Shan Zuo:
Defense Strategies for Autonomous Multi-agent Systems: Ensuring Safety and Resilience Under Exponentially Unbounded FDI Attacks. - Daniel Silver, Ron Kimmel:
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation. - Michele Flammini, Maria Fomenko, Giovanna Varricchio:
Non-obvious Manipulability in Hedonic Games with Friends Appreciation Preferences. - Devashish R. Purandare, Peter Alvaro, Avani Wildani, Darrell D. E. Long, Ethan L. Miller:
Host-guided data placement: whose job is it anyway? - Federico Ravenda, Seyed Ali Bahrainian, Andrea Raballo, Antonietta Mira, Noriko Kando:
Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice. - Shiran Dudy:
Search Plurality. - Santiago Aranguri, Giulio Biroli, Marc Mézard, Eric Vanden-Eijnden:
Optimizing Noise Schedules of Generative Models in High Dimensionss. - Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni:
Bootstrapped Reward Shaping. - Yichao Wang, Mohamadamin Rajabinezhad, Yi Zhang, Shan Zuo:
Cyber-physical Defense for Heterogeneous Multi-agent Systems Against Exponentially Unbounded Attacks on Signed Digraphs. - Jungho Ahn, Hugo Jacob, Noleen Köhler, Christophe Paul, Amadeus Reinald, Sebastian Wiederrecht:
Twin-width one. - Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan:
Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. - Shreya G. Upadhyay, Woan-Shiuan Chien, Chi-Chun Lee:
Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition. - Davoud Mirzaei:
Stochastic Simulation and Monte Carlo Method. - Zhou Yang, Zhengyu Qi, Zhaochun Ren, Zhikai Jia, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao:
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory. - D. Isaiah Harp, Joshua Ott, Dylan M. Asmar, John Alora, Mykel J. Kochenderfer:
Physics-informed Gaussian Processes for Safe Envelope Expansion. - Yusi Wei, Hande Y. Benson, Joseph Agor, Muge Capan:
Multi-Objective Optimization-Based Anonymization of Structured Data for Machine Learning. - Ao Gao, Luosong Guo, Tao Chen, Zhao Wang, Ying Tai, Jian Yang, Zhenyu Zhang:
EasySplat: View-Adaptive Learning makes 3D Gaussian Splatting Easy. - Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze:
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. - Yan Gu, Zhaoze Liu, Shuhong Dai, Cong Liu, Ying Wang, Shen Wang, Georgios Theodoropoulos, Long Cheng:
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review. - Mohammad Shahab Sepehri, Asal Mehradfar, Mahdi Soltanolkotabi, Salman Avestimehr:
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction. - Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Ju Jing, Yasser Abduallah, Zhenduo Wang, Hameedullah Farooki, Huseyin Cavus, Vasyl Yurchyshyn:
Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning. - Chengze Zhang, Changshan Li, Shiyang Gao:
MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model. - Zhaoyu Chen, Haijing Guo, Kaixun Jiang, Jiyuan Fu, Xinyu Zhou, Dingkang Yang, Hao Tang, Bo Li, Wenqiang Zhang:
Boosting Adversarial Transferability with Spatial Adversarial Alignment. - Anna Grim, Jayaram Chandrashekar, Uygar Sümbül:
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function. - Ziyang Chen, Yongjun Zhang, Wenting Li, Bingshu Wang, Yabo Wu, Yong Zhao, C. L. Philip Chen:
Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer. - Xiaopeng Ke:
Towards Adversarially Robust Deep Metric Learning. - Iqra Batool:
RealTime Health Monitoring Using 5G Networks: A Deep Learning-Based Architecture for Remote Patient Care. - Xinshuo Hu, Zifei Shan, Xinping Zhao, Zetian Sun, Zhenyu Liu, Dongfang Li, Shaolin Ye, Xinyuan Wei, Qian Chen, Baotian Hu, Haofen Wang, Jun Yu, Min Zhang:
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model. - Harshika Goyal, Mohammad Saif Wajid, Mohd Anas Wajid, Akib Mohi Ud Din Khanday, Mehdi Neshat, Amir Gandomi:
State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects. - Mayi Xu, Yunfeng Ning, Yongqi Li, Jianhao Chen, Jintao Wen, Yao Xiao, Shen Zhou, Birong Pan, Zepeng Bao, Xin Miao, Hankun Kang, Ke Sun, Tieyun Qian:
Reasoning based on symbolic and parametric knowledge bases: a survey. - Wonduk Seo, Zonghao Yuan, Yi Bu:
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning. - Huashan Chen, Yifan Xu, Yue Feng, Ming Jian, Feng Liu, Pengfei Hu, Kebin Peng, Sen He, Zi Wang:
DynamicLip: Shape-Independent Continuous Authentication via Lip Articulator Dynamics. - Bin Wang, Xunlong Zou, Shuo Sun, Wenyu Zhang, Yingxu He, Zhuohan Liu, Chengwei Wei, Nancy F. Chen, AiTi Aw:
Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models. - Xiaoshuai Hao, Guanqun Liu, Yuting Zhao, Yuheng Ji, Mengchuan Wei, Haimei Zhao, Lingdong Kong, Rong Yin, Yu Liu:
MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception. - Chen Shang, Jiadong Yu, Dinh Thai Hoang:
Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL. - Yixing Xu, Shivank Nag, Dong Li, Lu Tian, Emad Barsoum:
MSWA: Refining Local Attention with Multi-ScaleWindow Attention. - Jingkai Sun, Qiang Zhang, Jiaxu Wang, Jiahang Cao, Renjing Xu:
Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras. - Linhao Huang, Xue Jiang, Zhiqiang Wang, Wentao Mo, Xi Xiao, Bo Han, Yongjie Yin, Feng Zheng:
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs. - Lingzhi Zhao, Ying Cui, Yuhang Jia, Yunfei Zhang, Klara Nahrstedt:
Enhancing Neural Adaptive Wireless Video Streaming via Lower-Layer Information Exposure and Online Tuning. - Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang:
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. - Youngjun Son, Chaewon Kim, Jaejin Lee:
FED: Fast and Efficient Dataset Deduplication Framework with GPU Acceleration. - Song Zhang, Zhiwei Wei, Wenjia Xu, Lili Zhang, Yang Wang, Jinming Zhang, Junyi Liu:
TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo. - Yifei Zhou, Thomas Kämpfe, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin:
TReCiM: Lower Power and Temperature-Resilient Multibit 2FeFET-1T Compute-in-Memory Design. - Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
Dynamic Scaling of Unit Tests for Code Reward Modeling. - Rida Qadri, Aida Mostafazadeh Davani, Kevin Robinson, Vinodkumar Prabhakaran:
Risks of Cultural Erasure in Large Language Models. - Abrar Hossain, Abdel-Hameed A. Badawy, Mohammad A. Islam, Tapasya Patki, Kishwar Ahmed:
HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach. - Yanwen Huang, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao:
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models. - Shaokang Xie, Dakai Kang, Hanzheng Lyu, Jianyu Niu, Mohammad Sadoghi:
Fides: Scalable Censorship-Resistant DAG Consensus via Trusted Components. - Sathwik Narkedimilli, Amballa Venkata Sriram, Sujith Makam, MSVPJ Sathvik, Sai Prashanth Mallellu:
FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs. - Qiya Song, Jiajun Hu, Lin Xiao, Bin Sun, Xieping Gao, Shutao Li:
DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations. - Alireza Safarzadeh, Mohammad Reza Jamali, Behzad Moshiri:
Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches. - Nathan Cassee, Neil A. Ernst, Nicole Novielli, Alexander Serebrenik:
Negativity in Self-Admitted Technical Debt: How Sentiment Influences Prioritization. - Md Osama, Ashim Dey, Kawsar Ahmed, Muhammad Ashad Kabir:
BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion. - Solmaz S. Kia:
Submodular Maximization Subject to Uniform and Partition Matroids: From Theory to Practical Applications and Distributed Solutions. - Jiang Shang, Yuanmeng Wu, Xiaoxiang Han, Xi Chen, Qi Zhang:
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images. - Xiaohui Chen, Yinkai Wang, Jiaxing He, Yuanqi Du, Soha Hassoun, Xiaolin Xu, Li-Ping Liu:
Graph Generative Pre-trained Transformer. - Yipeng Liang, Qimei Chen, Guangxu Zhu, Muhammad Kaleem Awan, Hao Jiang:
Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management. - Jamil Ispahany, MD Rafiqul Islam, M. Arif Khan, Md Zahidul Islam:
iCNN-LSTM: A batch-based incremental ransomware detection system using Sysmon. - Chenglu Sun, Shuo Shen, Wenzhi Tao, Deyi Xue, Zixia Zhou:
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning. - Syed Tahir Hussain Rizvi, Neel Kanwal, Muddasar Naeem, Alfredo Cuzzocrea, Antonio Coronato:
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction. - Jamil Ispahany, MD Rafiqul Islam, M. Arif Khan, Md Zahidul Islam:
A Sysmon Incremental Learning System for Ransomware Analysis and Detection. - Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma:
HoneypotNet: Backdoor Attacks Against Model Extraction. - Suhwan Choi, Kyu Won Kim, Myungjoo Kang:
MMVA: Multimodal Matching Based on Valence and Arousal across Images, Music, and Musical Captions. - Kun Wang, Roberto Armellin, Adam Evans, Harry Holt, Zheng Chen:
Learning-Based Stable Optimal Guidance for Spacecraft Close-Proximity Operations. - Hong Zhang, Zhongjie Duan, Xingjun Wang, Yingda Chen, Yu Zhang:
EliGen: Entity-Level Controlled Image Generation with Regional Attention. - Daniel Rosin:
A fast algorithm for the Frobenius problem in three variables. - Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia:
Long-range Brain Graph Transformer. - Jiwei Shan, Zeyu Cai, Cheng-Tai Hsieh, Shing Shin Cheng, Hesheng Wang:
Deformable Gaussian Splatting for Efficient and High-Fidelity Reconstruction of Surgical Scenes. - Anugunj Naman, Gaibo Zhang:
FAST: Fast Audio Spectrogram Transformer. - Grant Ruan, Munther A. Dahleh:
Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates. - Teng Li, Xingjun Ma, Yu-Gang Jiang:
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks. - Haina Zhu, Yizhi Zhou, Hangting Chen, Jianwei Yu, Ziyang Ma, Rongzhi Gu, Yi Luo, Wei Tan, Xie Chen:
MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization. - Xiusheng Xu, Lei Qi, Jingyang Zhou, Xin Geng:
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization. - Jimin Park, AHyun Ji, Minji Park, Mohammad Saidur Rahman, Se Eun Oh:
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification. - Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh:
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money. - Dong Zhang, Kwang-Ting Cheng:
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion. - Ali Safa, Ali Al-Zawqari:
Co-Design of a Robot Controller Board and Indoor Positioning System for IoT-Enabled Applications. - Zitong Xu, Huiyu Duan, Guangji Ma, Liu Yang, Jiarui Wang, Qingbo Wu, Xiongkuo Min, Guangtao Zhai, Patrick Le Callet:
HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment. - Rofiqul Islam, Nihad Karim Chowdhury, Muhammad Ashad Kabir:
Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation. - Humaira Kousar, Hasnain Irshad Bhatti, Jaekyun Moon:
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning. - Xuan Yu, Yuxuan Xie, Yili Liu, Haojian Lu, Rong Xiong, Yiyi Liao, Yue Wang:
Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction. - Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou:
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning. - Zhenyu Li, Wenqing Cui, Shariq Farooq Bhat, Peter Wonka:
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation. - Junya Ono, Hiromi Wakaki:
TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation. - Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia:
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning. - Feng Han, Kai Chen, Chao Gong, Zhipeng Wei, Jingjing Chen, Yu-Gang Jiang:
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure. - Xinyang Huang, Chuang Zhu, Ruiying Ren, Shengjie Liu, Tiejun Huang:
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation. - Sihan Wang, Shangqi Gao, Fuping Wu, Xiahai Zhuang:
InDeed: Interpretable image deep decomposition with guaranteed generalizability. - Anugunj Naman, Aaron Ault, Yaguang Zhang, James V. Krogmeier:
Automating Work Orders and Tracking Winter Snow Plows and Patrol Vehicles with Telematics Data. - Jingyi Cui, Yi-Ge Zhang, Hengyu Liu, Yisen Wang:
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise. - Zhen Tao, Shidong Pan, Zhenchang Xing, Xiaoyu Sun, Omar Haggag, John C. Grundy, Ze Shi Li, Jingjie Li, Liming Zhu:
Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development. - Francisco Alejandro Mena, Diego Arenas, Andreas Dengel:
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach. - Nikolaos Bousias, Stefanos Pertigkiozoglou, Kostas Daniilidis, George J. Pappas:
Symmetries-enhanced Multi-Agent Reinforcement Learning. - Maojun Zhang, Haotian Wu, Guangxu Zhu, Richeng Jin, Xiaoming Chen, Deniz Gündüz:
Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission. - Min Whoo Lee, Kibeom Kim, Soo Wung Shin, Minsu Lee, Byoung-Tak Zhang:
Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. - Ruichen Zhang, Changyuan Zhao, Hongyang Du, Dusit Niyato, Jiacheng Wang, Suttinee Sawadsitang, Xuemin Shen, Dong In Kim:
Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method. - Yuxiang Yang, Xinyi Zeng, Pinxian Zeng, Zu Chen, Binyu Yan, Jiliu Zhou, Yan Wang:
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations. - Wonsuk Jang, Thierry Tambe:
BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference. - Chenxi Xiong, Ting Yang, Yu Wang, Bing Dong:
PoVF: Empowering Decentralized Blockchain Systems with Verifiable Function Consensus. - Gopi Chand Ananthu, Riadul Islam:
Integrated AHB to APB Bridge Using Raspberry Pi and Artix-7 FPGA. - Yuxiang Chai, Hanhao Li, Jiayu Zhang, Liang Liu, Guozhi Wang, Shuai Ren, Siyuan Huang, Hongsheng Li:
A3: Android Agent Arena for Mobile GUI Agents. - Sagarnil Das:
Robot localization in a mapped environment using Adaptive Monte Carlo algorithm. - Timothe Presles, Cyrille Enderli, Gilles Burel, El Houssaïn Baghious:
Quantum Computing for Partition Function Estimation of a Markov Random Field in a Radar Anomaly Detection Problem. - Vriksha Srihari, R. Bhavya, Shruti Jayaraman, V. Mary Anita Rajam:
TexAVi: Generating Stereoscopic VR Video Clips from Text Descriptions. - Farshad Noravesh, Reza Haffari, Ong Huey Fang, Lay-Ki Soon, Sailaja Rajalana, Arghya Pal:
Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks. - Jiajun Deng, Tianyu He, Li Jiang, Tianyu Wang, Feras Dayoub, Ian D. Reid:
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer. - Lixiong Qin, Ning Jiang, Yang Zhang, Yuhan Qiu, Dingheng Zeng, Jiani Hu, Weihong Deng:
Towards Interactive Deepfake Analysis. - Chengrui Gao, Ziyuan Yang, Wei Jia, Lu Leng, Bob Zhang, Andrew Beng Jin Teoh:
Deep Learning in Palmprint Recognition-A Comprehensive Survey. - Dinh Dung:
Weighted approximate sampling recovery and integration based on B-spline interpolation and quasi-interpolation. - Mahdi Zakizadeh, Mohammad Taher Pilehvar:
Blind Men and the Elephant: Diverse Perspectives on Gender Stereotypes in Benchmark Datasets. - Rostyslav Koroliuk, Vyacheslav Nykytyuk, Vitaliy Tymoshchuk, Veronika Soyka, Dmytro Tymoshchuk:
Automated monitoring of bee colony movement in the hive during winter season. - Soumyaratna Debnath, Harish Katti, Shashikant Verma, Shanmuganathan Raman:
L3D-Pose: Lifting Pose for 3D Avatars from a Single Camera in the Wild. - Seongho Hong, Yong-Hoon Choi:
RingFormer: A Neural Vocoder with Ring Attention and Convolution-Augmented Transformer. - Shuheng Chen, Junyi Fan, Armin Abdollahi, Negin Ashrafi, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases. - Dat Nguyen, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada:
Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection. - Qingqing Ren, Wen Wang, Shuyong Zhu, Zhiyuan Wu, Yujun Zhang:
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing. - Arslan Ali Syed, Majid Rostami-Shahrbabaki, Klaus Bogenberger:
Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective. - Mahdi Nazeri, Thom S. Badings, Sadegh Soudjani, Alessandro Abate:
Data-Driven Yet Formal Policy Synthesis for Stochastic Nonlinear Dynamical Systems. - Annika Bush, Amin Alibakhshi:
Bridging the Early Science Gap with Artificial Intelligence: Evaluating Large Language Models as Tools for Early Childhood Science Education. - Chaoyue Huang, Hanzhou Wu:
A Game Between the Defender and the Attacker for Trigger-based Black-box Model Watermarking. - Wenqian Cui, Xiangling Fu, Shaohui Liu, Mingjun Gu, Xien Liu, Ji Wu, Irwin King:
Data Augmentation Techniques for Chinese Disease Name Normalization. - Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu:
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views. - Kyoungkook Kang, Gyujin Sim, Geonung Kim, Donguk Kim, Seungho Nam, Sunghyun Cho:
LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge. - Haiyong Wang:
On the deterioration of convergence rate of spectral differentiations for functions with singularities. - Tengfei Lyu, Md. Noor-A-Rahim, Dirk Pesch, Aisling O'Driscoll:
A Survey and Tutorial of Redundancy Mitigation for Vehicular Cooperative Perception: Standards, Strategies and Open Issues. - Aneesh Panchal, Kainat Khan, Rahul Katarya:
Empirical Analysis of Nature-Inspired Algorithms for Autism Spectrum Disorder Detection Using 3D Video Dataset. - Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang:
HetGCoT-Rec: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Journal Recommendation. - Abdullah M. Almasoud, Muhammad Rafay Naeem, Ibrahim Ghaznavi, Muhammad Imran Taj, Imran Hashmi, Junaid Qadir:
Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects. - Matej Mihelcic, Ivan Grubisic, Miha Keber:
A redescription mining framework for post-hoc explaining and relating deep learning models. - Yitong Zhu, Tangyao Li, Yuyang Wang:
Real-time Cross-modal Cybersickness Prediction in Virtual Reality. - Raul Tapia, Iván Gutierrez Rodríguez, Javier Luna-Santamaria, José Ramiro Martinez de Dios, Aníbal Ollero:
Range-Only Localization System for Small-Scale Flapping-Wing Robots. - Jiayu Li, Bingyin Zhao, Zilong Zhao, Kevin Yee, Uzair Javaid, Biplab Sikdar:
TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer. - Tianqi Song, Jack Jamieson, Tianwen Zhu, Naomi Yamashita, Yi-Chieh Lee:
From Interaction to Attitude: Exploring the Impact of Human-AI Cooperation on Mental Illness Stigma. - Aziida Nanyonga, Graham Wild:
Classification of Operational Records in Aviation Using Deep Learning Approaches. - Amil Bhagat, Milind Jain, A. V. Subramanyam:
Conditional Consistency Guided Image Translation and Enhancement. - Raphaël Ollando, Seung Yeob Shin, Mario Minardi, Nikolas Sidiropoulos:
Test Schedule Generation for Acceptance Testing of Mission-Critical Satellite Systems. - Aziida Nanyonga, Hassan Wasswa, Ugur Turhan, Keith F. Joiner, Graham Wild:
Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing. - Yongxian Wei, Anke Tang, Li Shen, Chun Yuan, Xiaochun Cao:
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. - Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser, Franck Galpin, Pierre Hellier:
Exploiting Latent Properties to Optimize Neural Codecs. - Zhiyao Wang, Xu Chen, Chengming Xu, Junwei Zhu, Xiaobin Hu, Jiangning Zhang, Chengjie Wang, Yuqi Liu, Yiyi Zhou, Rongrong Ji:
SVFR: A Unified Framework for Generalized Video Face Restoration. - Yuancheng Jiang, Jianing Wang, Chuqi Zhang, Roland H. C. Yap, Zhenkai Liang, Manuel Rigger:
Enhanced Differential Testing in Emerging Database Systems. - Alexander Brinkmann, Christian Bizer:
Automated Self-Refinement and Self-Correction for LLM-based Product Attribute Value Extraction. - Junjie Yang, Haibo Wan, Zhihai Shang:
EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection. - Roberto Dias Algarte:
High-Order Tensor Regression in Sparse Convolutional Neural Networks. - Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu:
Asymmetric Reinforcing against Multi-modal Representation Bias. - Uzma Mushtaque:
An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec. - Lixiong Qin, Shilong Ou, Miaoxuan Zhang, Jiangning Wei, Yuhang Zhang, Xiaoshuai Song, Yuchen Liu, Mei Wang, Weiran Xu:
Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants. - Yongle Huang, Haodong Chen, Zhenbang Xu, Zihan Jia, Haozhou Sun, Dian Shao:
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization. - Qiyuan He, Jianfei Yu, Wenya Wang:
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion. - Thorben Werner, Lars Schmidt-Thieme:
Bayesian Active Learning By Distribution Disagreement. - Oksana Mulesa, Petro Horvat, Tamara Radivilova, Volodymyr Sabadosh, Oleksii Baranovskyi, Sergii Duran:
Design of mechanisms for ensuring the execution of tasks in project planning. - Manuel Weber, Moritz Huber, Maximilian Auch, Alexander Döschl, Max-Emanuel Keller, Peter Mandl:
Digital Guardians: Can GPT-4, Perspective API, and Moderation API reliably detect hate speech in reader comments of German online newspapers? - Shanghaoran Quan, Jiaxi Yang, Bowen Yu, Bo Zheng, Dayiheng Liu, An Yang, Xuancheng Ren, Bofei Gao, Yibo Miao, Yunlong Feng, Zekun Wang, Jian Yang, Zeyu Cui, Yang Fan, Yichang Zhang, Binyuan Hui, Junyang Lin:
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. - Fangyu Zhao, Chunhua Xiao, Zhiguo Wang, Xiaohua Du, Bo Dong:
Adaptive Hybrid FFT: A Novel Pipeline and Memory-Based Architecture for Radix-2k FFT in Large Size Processing. - Mengjie Qin, Yuchao Feng, Zongliang Wu, Yulun Zhang, Xin Yuan:
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging. - Jiali Wei, Ming Fan, Xicheng Zhang, Wenjing Jiao, Haijun Wang, Ting Liu:
Stealthy Backdoor Attack to Real-world Models in Android Apps. - Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng:
ProgCo: Program Helps Self-Correction of Large Language Models. - Michael Kölle, Johannes Tochtermann, Julian Schönberger, Gerhard Stenzel, Philipp Altmann, Claudia Linnhoff-Popien:
PIMAEX: Multi-Agent Exploration through Peer Incentivization. - Mohd Saif Ali Khan, Samar Agnihotri, Karthik R. M.:
Energy-Efficiency and Spectral-Efficiency Trade-off in Distributed Massive-MIMO Networks. - Mose Park, Yunjin Choi, Jong-June Jeon:
Does a Large Language Model Really Speak in Human-Like Language? - Leandro Di Bella, Yangxintong Lyu, Bruno Cornelis, Adrian Munteanu:
HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking. - Jingzhi Gong, Vardan Voskanyan, Paul Brookes, Fan Wu, Wei Jie, Jie Xu, Rafail Giavrimis, Mike Basios, Leslie Kanthan, Zheng Wang:
Language Models for Code Optimization: Survey, Challenges and Future Directions. - Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang:
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries. - Xi Luo, Junjie Liu, Sirong Wu, Yuhui Deng:
NeutraSum: A Language Model can help a Balanced Media Diet by Neutralizing News Summaries. - Diego Vaquero-Melchor, Ana M. Bernardos, Luca Bergesio:
SARA: A Microservice-Based Architecture for Cross-Platform Collaborative Augmented Reality. - Burak Celik, Kivanc Dogan, Ezgi Taskin, Ayhan Akbal, Ahmet Orhan:
Optimized Relay Lens Design For High-Resolution Image Transmission In Military Target Detection Systems. - Vaskar Nath, Pranav Raja, Claire Yoon, Sean Hendryx:
ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark. - Yu-Han Huang, Argyrios Gerogiannis, Subhonmesh Bose, Venugopal V. Veeravalli:
Change Detection-Based Procedures for Piecewise Stationary MABs: A Modular Approach. - Zheng Lin, Yuxin Zhang, Zhe Chen, Zihan Fang, Cong Wu, Xianhao Chen, Yue Gao, Jun Luo:
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks. - Harshith Gowrachari, Giovanni Stabile, Gianluigi Rozza:
Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration. - Yifan Ding, Matthew Facciani, Amrit Poudel, Ellen Joyce, Salvador Aguiñaga, Balaji Veeramani, Sanmitra Bhattacharya, Tim Weninger:
Citations and Trust in LLM Generated Responses. - Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi, Yuxin Zi, Vedant Palit, Ritvik Garimella, Amit P. Sheth:
Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments - The Depression and Anxiety Case. - Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking. - Bohang Sun, Pietro Liò:
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers. - Ian T. Foster, Carl Kesselman:
Computational Grids. - Yi-Ge Zhang, Jingyi Cui, Qiran Li, Yisen Wang:
Understanding Difficult-to-learn Examples in Contrastive Learning: A Theoretical Framework for Spectral Contrastive Learning. - Jianyi Wang, Zhijie Lin, Meng Wei, Yang Zhao, Ceyuan Yang, Chen Change Loy, Lu Jiang:
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration. - Maya N. Keely, Brandon Franco, Casey Grothoff, Rajat Kumar Jenamani, Tapomayukh Bhattacharjee, Dylan P. Losey, Heramb Nemlekar:
Kiri-Spoon: A Kirigami Utensil for Robot-Assisted Feeding. - Shuya Tobari, Shuhei Tomoshige, Hayato Muraki, Kenichi Oishi, Hitoshi Iyatomi:
Domain-invariant feature learning in brain MR imaging for content-based image retrieval. - Victoria Khalfin Fekson, Nitsan Pri-Hadash, Netta Palez, Aviad Etzion, Itzik Klein:
Enhancement of Neural Inertial Regression Networks: A Data-Driven Perspective. - Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Xiaoqian Jiao, Chun Yong Chong, Shan Gao, Michael R. Lyu:
The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation. - Yanbo Fang, Ruixiang Tang:
Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension. - Simon Hachmeier, Robert Jäschke:
On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube. - Krishna Sai Ketha, Guanqun Song, Ting Zhu:
Analysis of Security in OS-Level Virtualization. - Johan Wahréus, Ahmed Mohamed Hussain, Panos Papadimitratos:
CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models. - Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua:
Aligning Large Language Models for Faithful Integrity Against Opposing Argument. - Nikita Kostin:
Simultaneous Latent State Estimation and Latent Linear Dynamics Discovery from Image Observations. - Hao Wang, Zhichao Chen, Licheng Pan, Xiaoyu Jiang, Yichen Song, Qunshan He, Xinggao Liu:
DeepFilter: An Instrumental Baseline for Accurate and Efficient Process Monitoring. - Yifeng Qiu, Alexis Bose:
Machine Learning for Modeling Wireless Radio Metrics with Crowdsourced Data and Local Environment Features. - Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Lu Cheng, Mengnan Du:
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability. - Jaehun Kim, Ji-Hoon Kim, Yeunju Choi, Tan Dat Nguyen, Seongkyu Mun, Joon Son Chung:
AdaptVC: High Quality Voice Conversion with Adaptive Learning. - Liang He, Yougang Chu, Zhen Wu, Jianbing Zhang, Xinyu Dai, Jiajun Chen:
Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark. - Chandreyee Roy, Kunal Bhattacharya, Kimmo Kaski:
Tracking behavioural differences across chronotypes: A case study in Finland using Oura rings. - Ewnetu Bayuh Lakew, Petter Svärd, Erik Elmroth, Johan Tordsson:
Optimising Virtual Resource Mapping in Multi-Level NUMA Disaggregated Systems. - Shian Wang, Jose Acedo Aguilar, Miguel Velez-Reyes:
Smoothing traffic flow through automated vehicle control with optimal parameter selection. - Michael Tao, Jiacheng Dai, Denis Zorin, Teseo Schneider, Daniele Panozzo:
Codimensional MultiMeshing: Synchronizing the Evolution of Multiple Embedded Geometries. - Austin T. Wang, ZeMing Gong, Angel X. Chang:
ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding. - Nathaniel Dennler, Stefanos Nikolaidis, Maja J. Mataric:
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation. - Z. Zhang, B. Liu, J. Bao, L. Chen, S. Zhu, J. Yu:
Test-time Controllable Image Generation by Explicit Spatial Constraint Enforcement. - Karthik Mohan, Pengyu Chen:
Embedding-based Approaches to Hyperpartisan News Detection. - Ben Vardi, Oron Nir, Ariel Shamir:
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering. - Tamim Ahmed, Zhaoyi Guo, Mohammod Shaikh Sadid Khan, Thanassis Rikakis, Aisling Kelliher:
Data Acquisition Through Participatory Design for Automated Rehabilitation Assessment. - Rasel Ahmed Bhuiyan, Mateusz Trokielewicz, Piotr Maciejewicz, Sherri L. Bucher, Adam Czajka:
Iris Recognition for Infants. - Yucheng Zhou, Lingran Song, Jianbing Shen:
Training Medical Large Vision-Language Models with Abnormal-Aware Feedback. - Yufeng Zhu:
BundleFit: Display and See-Through Models for Augmented Reality Head-Mounted Displays. - Xize Cheng, Dongjie Fu, Xiaoda Yang, Minghui Fang, Ruofan Hu, Jingyu Lu, Jionghao Bai, Zehan Wang, Shengpeng Ji, Rongjie Huang, Linjun Li, Yu Chen, Tao Jin, Zhou Zhao:
OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios. - Julian Barreiro-Gomez, Shinkyu Park:
Optimal Strategy Revision in Population Games: A Mean Field Game Theory Perspective. - Yidi Shao, Chen Change Loy, Bo Dai:
Learning 3D Garment Animation from Trajectories of A Piece of Cloth. - Jingjing Xu, Caesar Wu, Yuan-Fang Li, Grégoire Danoy, Pascal Bouvry:
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models. - Wesley Hanwen Deng, Wang Claire, Howard Ziyu Han, Jason I. Hong, Kenneth Holstein, Motahhare Eslami:
WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI. - Panagiotis I. Nikolaidis, Seyed Samie Mostafavi, James Gross, John S. Baras:
A Proof of Concept Resource Management Scheme for Augmented Reality Applications in 5G Systems. - Haixu Liu, Zerui Tao, Naihui Zhang, Sixing Liu:
Best Transition Matrix Esitimation or Best Label Noise Robustness Classifier? Two Possible Methods to Enhance the Performance of T-revision. - Kenneth Ge, Jooyoung Seo:
StereoMath: An Accessible and Musical Equation Editor. - Haixu Liu, Zerui Tao, Wenzhen Dong, Qiuzhuang Sun:
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation. - Or Patashnik, Rinon Gal, Daniil Ostashev, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or:
Nested Attention: Semantic-aware Attention Values for Concept Personalization. - Chun-Hao Paul Huang, Jae Shin Yoon, Hyeonho Jeong, Niloy J. Mitra, Duygu Ceylan:
On Unifying Video Generation and Camera Pose Estimation. - Gleb Kalachev, Pavel Panteleev:
Maximally Extendable Product Codes are Good Coboundary Expanders. - Yaxian Wang, Henghui Ding, Shuting He, Xudong Jiang, Bifan Wei, Jun Liu:
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension. - Yoshitomo Matsubara, Matteo Mendula, Marco Levorato:
A Multi-task Supervised Compression Model for Split Computing. - Xudong Jiang, Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys:
R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization. - Haixu Liu, Wenning Wang, Haoxiang Zheng, Penghao Jiang, Qirui Wang, Ruiqing Yan, Qiuzhuang Sun:
Multi-Modal Video Feature Extraction for Popularity Prediction. - Jingfeng Yao, Xinggang Wang:
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models. - Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman:
Object-level Visual Prompts for Compositional Image Generation. - Xincheng Shuai, Henghui Ding, Zhenyuan Qin, Hao Luo, Xingjun Ma, Dacheng Tao:
Free-Form Motion Control: A Synthetic Video Generation Dataset with Controllable Camera and Object Motions. - Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles, Honglu Zhou, Olga Russakovsky:
Unifying Specialized Visual Encoders for Video Language Models. - Yuanpeng Tu, Hao Luo, Xi Chen, Sihui Ji, Xiang Bai, Hengshuang Zhao:
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control. - Zhangyang Qi, Zhixiong Zhang, Ye Fang, Jiaqi Wang, Hengshuang Zhao:
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models. - DongYu Du, Yue Chan:
Item Association Factorization Mixed Markov Chains for Sequential Recommendation. - Christo Aluckal, Roopesh Vinodh Kumar Lal, Sean Courtney, Yash Turkar, Yashom Dighe, Young-Jin Kim, Jake Gemerek, Karthik Dantu:
TERA: A Simulation Environment for Terrain Excavation Robot Autonomy. - Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou:
CSI Compression using Channel Charting. - Bassel El Mabsout:
Survey on safe robot control via learning. - Itsuki Maeda, Yasuhiro Inoue:
Mathematical Definition and Systematization of Puzzle Rules. - Mario Fritz:
Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity? - Le Tieu Nien, Pham Van Cuong, Nguyen Phuc Anh, Vu Ngoc Son:
Toi uu hieu suat toc do dong co Servo DC su dung bo dieu khien PID ket hop mang no-ron. - Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting:
Probabilistic Mission Design in Neuro-Symbolic Systems. - Aditya Bhattacharya, Simone Stumpf, Robin De Croon, Katrien Verbert:
Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems. - Aniket Shashikant Dhole:
Feedback Design and Implementation for Integrated Posture Manipulation and Thrust Vectoring. - Junqing Jia, Xiaoyun Jiang:
Optimal error bounds on an exponential wave integrator Fourier spectral method for fractional nonlinear Schrödinger equations with low regularity potential and nonlinearity. - Avinash Amballa, Gayathri Akkinapalli, Vinitra Muralikrishnan:
LS-GAN: Human Motion Synthesis with Latent-space GANs. - Maryna Kapitonova, Tonio Ball:
Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research. - Ali Rabeh, Ethan Herron, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries. - Diji Yang, Linda Zeng, Kezhen Chen, Yi Zhang:
Reinforcing Thinking through Reasoning-Enhanced Reward Models. - George Yuanji Wang, Srisharan Murugesan, Aditya Prince Rohatgi:
GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene Identification. - Lingrui Zhang, Haonan Wu, Nana Jin, Chenqing Zheng, Jize Xie, Qitai Cai, Jun Wang, Qin Cao, Xubin Zheng, Jiankun Wang, Lixin Cheng:
Pan-infection Foundation Framework Enables Multiple Pathogen Prediction. - Ben Nageris, Felipe Meneguzzi, Reuth Mirsky:
Goal Recognition using Actor-Critic Optimization. - Zhi-Hao Guan:
Balance-aware Sequence Sampling Makes Multi-modal Learning Better. - Nilesh Kumar Sahu, Snehil Gupta, Haroon R. Lone:
Assessing HRV and HR Dynamics with Wearables During Socially Anxious Situations: Insights from a Controlled Study in a Low-Middle-Income Country. - Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang:
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. - Hadi Askari, Shivanshu Gupta, Terry Tong, Fei Wang, Anshuman Chhabra, Muhao Chen:
Unraveling Indirect In-Context Learning Using Influence Functions. - Shuangtao Li, Shuaihao Dong, Kexin Luan, Xinhan Di, Chaofan Ding:
Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search. - Kunpeng Xu, Lifei Chen, Shengrui Wang:
CORAL: Concept Drift Representation Learning for Co-evolving Time-series. - Nadja Willenborg:
Block components of generalized quaternion group codes. - Milan Jain, Burcu Ozcelik Mutlu, Caleb Stam, Jan Strube, Brian Schupbach, Jason Michael St. John, William A. Pellico:
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis. - Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks. - Alireza Khataei, Kia Bazargan:
TreeLUT: An Efficient Alternative to Deep Neural Networks for Inference Acceleration Using Gradient Boosted Decision Trees. - Takeshi Tsukada, Hiroshi Unno, Oded Padon, Sharon Shoham:
A Primal-Dual Perspective on Program Verification Algorithms (Extended Version). - Mason Lary, Richard Samuelson, Alexander Wilentz, Alina Zare, Matthew Klawonn, James P. Fairbanks:
DiagrammaticLearning: A Graphical Language for Compositional Training Regimes. - Christopher Burger:
Improving Robustness Estimates in Natural Language Explainable AI though Synonymity Weighted Similarity Measures. - Naureen Hoque, Hanif Rahbari:
Securing Wi-Fi 6 Connection Establishment Against Relay and Spoofing Threats. - Oleksii Beznosov, Jesús Bonilla, Xianzhu Tang, Golo A. Wimmer:
High order interpolation of magnetic fields with vector potential reconstruction for particle simulations. - Mohammadreza M. Kalan, Eitan J. Neugut, Samory Kpotufe:
Transfer Neyman-Pearson Algorithm for Outlier Detection. - Bhavna Gopal, Huanrui Yang, Mark Horton, Yiran Chen:
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers. - Logan Beaver:
A Global Games-Inspired Approach to Multi-Robot Task Allocation for Heterogeneous Teams. - Tobias Strauch:
Transaction Level Hierarchy Guided and Functional Coverage Driven Deductive Formal Verification. - Eugene Yu Ji:
A Metasemantic-Metapragmatic Framework for Taxonomizing Multimodal Communicative Alignment. - Yury Solyaev, Vasiliy Dobryanskiy:
Enriched C1 finite elements for crack problems in simplified strain gradient elasticity. - Vasanth Reddy Baddam, Behdad Chalaki, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Hoda Eldardiry, Almuatazbellah Boker:
In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation. - Kanishk Gandhi, Michael Y. Li, Lyle Goodyear, Louise Li, Aditi Bhaskar, Mohammed Zaman, Noah D. Goodman:
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery. - Rasul Tutunov, Antoine Grosnit, Haitham Bou-Ammar:
Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information. - Jumana Almahmoud, Marc T. Facciotti, Michele Igo, Kamali Sripathi, David R. Karger:
Enhancing User Engagement in Large-Scale Social Annotation Platforms: Community-Based Design Interventions and Implications for Large Language Models (LLMs). - Shuguang Wang, Yuanjing Wang:
Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection. - Viswa Virinchi Muppirala, Hong Qian:
Extended Information Geometry: Large Deviation Theory, Statistical Thermodynamics, and Empirical Counting Frequencies. - Lihao Wang:
Click-Calib: A Robust Extrinsic Calibration Method for Surround-View Systems. - Dylan Sam, Marc Finzi, J. Zico Kolter:
Predicting the Performance of Black-box LLMs through Self-Queries. - Mike Qin, Irving Solis, James Motes, Marco Morales, Nancy M. Amato:
K-ARC: Adaptive Robot Coordination for Multi-Robot Kinodynamic Planning. - S. David Mis, Matti Lassas, Maarten V. de Hoop:
Semialgebraic Neural Networks: From roots to representations. - Shiye Cao, Jiwon Moon, Amama Mahmood, Victor Nikhil Antony, Ziang Xiao, Anqi Liu, Chien-Ming Huang:
Interruption Handling for Conversational Robots. - Bibo Wu, Fang Fang, Xianbin Wang:
Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks. - Lunshuai Pan, Shiqing Wang, Pushen Zuo, Zhong Sun:
GRAMC: General-purpose and reconfigurable analog matrix computing architecture. - Yajie Ji, Yanlai Chen, Zhenli Xu:
VGPT-PINN: Viscosity-enhanced Generative Pre-Trained Physics Informed Neural Networks for parameterized nonlinear conservation laws. - Mohamed Hisham Abdellatif:
(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and Challenges. - Honghu Chen, Bo Peng, Yunfan Tao, Juyong Zhang:
D3-Human: Dynamic Disentangled Digital Human from Monocular Video. - Guangqiang Wu, Fu Zhang:
Multivariate Time Series Anomaly Detection using DiffGAN Model. - Yinbo Yu, Saihao Yan, Xueyu Yin, Jing Fang, Jiajia Liu:
BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems. - Jingoo Lee, Kyungho Lim, Young-Chul Jung, Byung-Hoon Kim:
PSYCHE: A Multi-faceted Patient Simulation Framework for Evaluation of Psychiatric Assessment Conversational Agents. - Yao Ding, Weijie Kang, Aitao Yang, Zhili Zhang, Junyang Zhao, Jie Feng, Danfeng Hong, Qinhe Zheng:
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image. - Yunzhe Li, Facheng Hu, Hongzi Zhu, Quan Liu, Xiaoke Zhao, Jiangang Shen, Shan Chang, Minyi Guo:
Prism: Mining Task-aware Domains in Non-i.i.d. IMU Data for Flexible User Perception. - Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang:
Few-shot Implicit Function Generation via Equivariance. - Jian Guan, Jiantong Tian, Qiaoxi Zhu, Feiyang Xiao, Hejing Zhang, Xubo Liu:
Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift. - Delaram Ghobari, Mohammad Hossein Amini, Dai Quoc Tran, Seunghee Park, Shiva Nejati, Mehrdad Sabetzadeh:
Test Input Validation for Vision-based DL Systems: An Active Learning Approach. - Ali Owfi, Jonathan D. Ashdown, Kurt A. Turck:
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization. - Haixu Liu, Penghao Jiang, Zerui Tao:
Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model. - Adrian Hernandez, Max T. M. Ng, Nazib Siddique, Pablo L. Durango-Cohen, Amgad Elgowainy, Hani S. Mahmassani, Michael Wang, Yan Zhou:
Evaluation of Rail Decarbonization Alternatives: Framework and Application. - Max T. M. Ng, Meredith Raymer, Hani S. Mahmassani, Ismail Ömer Verbas, Taner Cokyasar:
Equity Impacts of Public Transit Network Redesign with Shared Autonomous Mobility Services. - Yun Zhu, Dong Zhang, Yi Lin, Yifei Feng, Jinhui Tang:
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation. - Amirmohammad Bamdad, Ali Owfi, Fatemeh Afghah:
Adaptive Meta-learning-based Adversarial Training for Robust Automatic Modulation Classification. - Mehran Ebrahimi, Masayuki Yano:
A hyperreduced reduced basis element method for reduced-order modeling of component-based nonlinear systems. - Ziyang Yu, Yuyu Liu:
ICPC: In-context Prompt Compression with Faster Inference. - Stefan Zellmann:
Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI. - Nithyasri Narasimhan, Sagarika Singh:
Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation. - Diego Huerta, Gerardo Arizmendi:
A Probabilistic Model for Node Classification in Directed Graphs. - Chen Liang, Donghua Yang, Zheng Liang, Zhiyu Liang, Tianle Zhang, Boyu Xiao, Yuqing Yang, Wenqi Wang, Hongzhi Wang:
Revisiting Data Analysis with Pre-trained Foundation Models. - Daewon Seo:
Integrated Communication and Bayesian Estimation of Fixed Channel States. - Zihao Wang, Yuxiang Wei, Fan Li, Renjing Pei, Hang Xu, Wangmeng Zuo:
ACE: Anti-Editing Concept Erasure in Text-to-Image Models. - Masaaki Fukumoto:
Whisphone: Whispering Input Earbuds. - Javier Marín:
A non-ergodic framework for understanding emergent capabilities in Large Language Models. - Ahmad Momani:
Implications of Artificial Intelligence on Health Data Privacy and Confidentiality. - Rini Smita Thakur, Vinod K. Kurmi:
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation. - Shuhei Tomoshige, Hayato Muraki, Kenichi Oishi, Hitoshi Iyatomi:
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings. - Tien Dang, Viet Thanh Duy Nguyen, Minh Tuan Le, Truong-Son Hy:
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs. - Heqing Zou, Tianze Luo, Guiyang Xie, Victor Zhang, Fengmao Lv, Guangcong Wang, Junyang Chen, Zhuochen Wang, Hansheng Zhang, Huaijian Zhang:
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding. - Kang Yi, Haoran Tang, Yumeng Li, Jing Xu, Jun Zhang:
Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection. - MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation. - Pu-Yun Kow, Pu-Zhao Kow:
An efficient light-weighted signal reconstruction method consists of Fast Fourier Transform and Convolutional-based Autoencoder. - Brij Nandan Tripathi, Hanumant Singh Shekhawat:
Enhanced Error Bounds For The Masked Projection Techniques via Cosine-Sine Decomposition. - Cai Yin, Zhouhong Gu, Du Zhaohan, Ye Zheyu, Cao Shaosheng, Xu Yiqian, Feng Hongwei, Chen Ping:
MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments. - Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei:
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. - Haibo Li:
Krylov iterative methods for linear least squares problems with linear equality constraints. - Lituan Wang, Lei Zhang, Wang Yan, Zhenbin Wang, Zhenwei Zhang, Zhang Yi:
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation. - Alexander Lam, Bo Li, Ankang Sun:
The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective. - Alaeddine Diaf, Abdelaziz Amara Korba, Nour El Islem Karabadji, Yacine Ghamri-Doudane:
BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction. - Yining She, Sumon Biswas, Christian Kästner, Eunsuk Kang:
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems. - Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. - Yikang Gui, Prashant Doshi:
Inversely Learning Transferable Rewards via Abstracted States. - Ruoyan Zhang, Zhongxiang Zheng, Bao Wankang:
Practical Secure Inference Algorithm for Fine-tuned Large Language Model Based on Fully Homomorphic Encryption. - Cunhang Fan, Youdian Gao, Zexu Pan, Jingjing Zhang, Hongyu Zhang, Jie Zhang, Zhao Lv:
Improved Feature Extraction Network for Neuro-Oriented Target Speaker Extraction. - Xuyuan Li, Zengqiang Shang, Li Wang, Pengyuan Zhang:
Controlling your Attributes in Voice. - Jie Peng, Shi Shu, Junxian Wang, Liuqiang Zhong:
A BDDC method for three-dimensional advection-diffusion problems with an adaptive coarse space. - Tengfei Wang, Xin Wang, Yongmao Hou, Yiwei Xu, Wendi Zhang, Zongqian Zhan:
PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic-Aware Grouping. - Lei Tang, Jinghui Qin, Wenxuan Ye, Hao Tan, Zhijing Yang:
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models. - Wenjian Zhang, Guanglei Song, Lin He, Jinlei Lin, Songyun Wu, Zhiliang Wang, Chenglong Li, Jiahai Yang:
6Vision: Image-encoding-based IPv6 Target Generation in Few-seed Scenarios. - Aecheon Jung, Soyun Choi, Junhong Min, Sungeun Hong:
IAM: Enhancing RGB-D Instance Segmentation with New Benchmarks. - Hiep Dinh, Son Le, My Than, Minh Ho, Nicolas Vuillerme, Hieu Pham:
Quantitative Gait Analysis from Single RGB Videos Using a Dual-Input Transformer-Based Network. - Aziida Nanyonga, Graham Wild:
Analyzing Aviation Safety Narratives with LDA, NMF and PLSA: A Case Study Using Socrata Datasets. - Jiachen Li, Shisheng Guo, Longzhen Tang, Cuolong Cui, Lingjiang Kong, Xiaobo Yang:
VidFormer: A novel end-to-end framework fused by 3DCNN and Transformer for Video-based Remote Physiological Measurement. - Rodrigo San-José:
Recursive decoding of projective Reed-Muller codes. - Heqiang Wang, Xiaoxiong Zhong, Kang Liu, Fangming Liu, Weizhe Zhang:
Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things. - Aziida Nanyonga, Hassan Wasswa, Graham Wild:
Comparative Study of Deep Learning Architectures for Textual Damage Level Classification. - Chenhao Zhang, Yuanping Cao, Lei Zhang:
CrossView-GS: Cross-view Gaussian Splatting For Large-scale Scene Reconstruction. - Ruitao Pu, Yuan Sun, Yang Qin, Zhenwen Ren, Xiaomin Song, Huiming Zheng, Dezhong Peng:
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels. - Junjie Xu, Xingjiao Wu, Tanren Yao, Zihao Zhang, Jiayang Bei, Wen Wu, Liang He:
Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation. - Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu:
AgentRefine: Enhancing Agent Generalization through Refinement Tuning. - Nicholas B. Andrews, Kristi A. Morgansen:
Optimal Fiducial Marker Placement for Satellite Proximity Operations Using Observability Gramians. - Chulun Zhou, Qiujing Wang, Mo Yu, Xiaoqian Yue, Rui Lu, Jiangnan Li, Yifan Zhou, Shunchi Zhang, Jie Zhou, Wai Lam:
The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters. - Fengrui Zhang, Yujia Yin, Hongzong Li, Yifan Chen, Tianyi Qu:
Catch Causal Signals from Edges for Label Imbalance in Graph Classification. - Akanksha, Anuj Kumar Bhagat, Ritumoni Sarma:
(Θ, ΔΘ, a)-cyclic codes over 𝔽ql and their applications in the construction of quantum codes. - Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang:
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders. - Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu:
Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. - Michal Kuk, Jakub Harasta:
LLMs & Legal Aid: Understanding Legal Needs Exhibited Through User Queries. - Alberta Longhini, Marcel Büsching, Bardienus Pieter Duisterhof, Jens Lundell, Jeffrey Ichnowski, Mårten Björkman, Danica Kragic:
Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision. - Huong Hoang, Truong Nguyen, Pamela C. Cosman:
KeyNode-Driven Geometry Coding for Real-World Scanned Human Dynamic Mesh Compression. - Guosheng Zhang, Keyao Wang, Haixiao Yue, Ajian Liu, Gang Zhang, Kun Yao, Errui Ding, Jingdong Wang:
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models. - Hanxin Zhu, Tianyu He, Xiqian Yu, Junliang Guo, Zhibo Chen, Jiang Bian:
AR4D: Autoregressive 4D Generation from Monocular Videos. - Athanasios Tragakis, Chaitanya Kaul, Kevin J. Mitchell, Hang Dai, Roderick Murray-Smith, Daniele Faccio:
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution. - Natalie L. Brace, Nicholas B. Andrews, Jeremy Upsal, Kristi A. Morgansen:
Sensor Placement on a Cantilever Beam Using Observability Gramians. - Gavin B. Rens:
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning. - Simon Buus Jensen, Stefan Oehmcke, Andreas Møgelmose, Meysam Madadi, Christian Igel, Sergio Escalera, Thomas B. Moeslund:
Multi-modal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds. - Bidyabhusan Kundu, Sreetosh Goswami:
Molecular Mechanism Enabling Linearity and Symmetry in Neuromorphic Elements. - Shivom Aggarwal, Shourya Mehra, Safeer Sathar:
Combined Hyper-Extensible Extremely-Secured Zero-Trust CIAM-PAM architecture. - Ruikang Chen, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang:
Augmentation Matters: A Mix-Paste Method for X-Ray Prohibited Item Detection under Noisy Annotations. - Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Saeid Gorgin, Muhammad Usman, Jeong-A Lee:
DSLR-CNN: Efficient CNN Acceleration using Digit-Serial Left-to-Right Arithmetic. - Marie-Therese Sekwenz, Rita Gsenger:
Mapping Compliance: A Taxonomy for Political Content Analysis under the EU's Digital Electoral Framework. - Simone Corbo, Luca Bancale, Valeria De Gennaro, Livia Lestingi, Vincenzo Scotti, Matteo Camilli:
How Toxic Can You Get? Search-based Toxicity Testing for Large Language Models. - Kangcheng Luo, Quzhe Huang, Cong Jiang, Yansong Feng:
Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation. - Simon Rouard, Robin San Roman, Yossi Adi, Axel Roebel:
MusicGen-Stem: Multi-stem music generation and edition through autoregressive modeling. - Haoyi Wang, Victor Sanchez, Chang-Tsun Li, Nathan Clarke:
From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning. - Andrea Matteazzi, Pascal Colling, Michael Arnold, Dietmar Tutsch:
Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models. - Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang:
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. - Er Jin, Qihui Feng, Yongli Mou, Stefan Decker, Gerhard Lakemeyer, Oliver Simons, Johannes Stegmaier:
LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction. - Jiajie Liu, Mengyuan Liu, Hong Liu, Wenhao Li:
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation. - Zechen Wu, Amy Greenwald, Ronald Parr:
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning. - Zaint A. Alexakis, Panos C. Papageorgiou, Antonio T. Alexandridis, Federico Milano, Georgios Tzounas:
Smooth Rate Limiter Model for Power System Stability Analysis and Control. - Ege Demirci, Efe Tuzun, Ahmet Furkan Un, Taner Giray Sonmez, Onur Varol:
From Occasional to Steady: Habit Formation Insights From a Comprehensive Fitness Study. - Qinyi Liu, Oscar Blessed Deho, Farhad Vadiee, Mohammad Khalil, Srecko Joksimovic, George Siemens:
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms. - Qinyi Liu, Ronas Shakya, Mohammad Khalil, Jelena Jovanovic:
Advancing privacy in learning analytics using differential privacy. - Yunfei Fan, Tianyu Zhao, Linan Guo, Chen Chen, Xin Wang, Fengyi Zhou:
Universal Online Temporal Calibration for Optimization-based Visual-Inertial Navigation Systems. - Zhengcong Fei, Debang Li, Di Qiu, Changqian Yu, Mingyuan Fan:
Ingredients: Blending Custom Photos with Video Diffusion Transformers. - Nikolaos Stathoulopoulos, Christoforos Kanellakis, George Nikolakopoulos:
A Minimal Subset Approach for Efficient and Scalable Loop Closure. - Sanghyeon Lee, Hongbeen Kim, Soojin Hwang, Guseul Heo, Minwoo Noh, Jaehyuk Huh:
Efficient LLM Inference with Activation Checkpointing and Hybrid Caching. - Mohammad Khalil, Farhad Vadiee, Ronas Shakya, Qinyi Liu:
Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation. - Nouran Khallaf, Carlo Eugeni, Serge Sharoff:
Reading Between the Lines: A dataset and a study on why some texts are tougher than others. - Qili Wang, Dajiang Wu, Zihang Xu, Junshi Huang, Jun Lv:
JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video Editing. - Annalena Daniels, Sebastian Kerz, Salman Bari, Volker Gabler, Dirk Wollherr:
Grasping in Uncertain Environments: A Case Study For Industrial Robotic Recycling. - David P. Woodruff, Taisuke Yasuda:
John Ellipsoids via Lazy Updates. - Ferhat Özgür Çatak, Murat Kuzlu, Umit Cali:
BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction. - Rohit Saxena, Hao Tang, Frank Keller:
End-to-End Long Document Summarization using Gradient Caching. - Dongkyu Lee, I Made Aswin Nahrendra, Minho Oh, Byeongho Yu, Hyun Myung:
TRG-planner: Traversal Risk Graph-Based Path Planning in Unstructured Environments for Safe and Efficient Navigation. - Huaize Liu, Wenzhang Sun, Donglin Di, Shibo Sun, Jiahui Yang, Changqing Zou, Hujun Bao:
MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation. - Mikhail Moshkov:
Algorithmic Problems for Computation Trees. - Alex Binh Vinh Duc Nguyen, Jan Leusmann, Sven Mayer, Andrew Vande Moere:
Eliciting Understandable Architectonic Gestures for Robotic Furniture through Co-Design Improvisation. - Hu Ding, Yan Yan, Yang Lu, Jing-Hao Xue, Hanzi Wang:
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition. - Huiming Li, Hao Chen, Xiangke Wang, Zhongkui Li, Lincheng Shen:
Distributed Framework Construction for Affine Formation Control. - Avital Shafran, Roei Schuster, Thomas Ristenpart, Vitaly Shmatikov:
Rerouting LLM Routers. - Vinicius dos Santos, Rick Kazman, Elisa Yumi Nakagawa:
Leveraging Sustainable Systematic Literature Reviews. - Mikhail Moshkov:
Programs Versus Finite Tree-Programs. - Aobo Kong, Wentao Ma, Shiwan Zhao, Yongbin Li, Yuchuan Wu, Ke Wang, Xiaoqian Liu, Qicheng Li, Yong Qin, Fei Huang:
SDPO: Segment-Level Direct Preference Optimization for Social Agents. - Remi van Trijp, Katrien Beuls, Paul Van Eecke:
The Proof is in the Almond Cookies. - Jingyuan Liu, Zheng Chang, Ying-Chang Liang:
Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning. - Yanjiang Liu, Shuheng Zhou, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Hongyu Lin, Ben He, Xianpei Han, Le Sun:
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models. - Henghua Shen, Qixin Wang:
Online Fault Tolerance Strategy for Abrupt Reachability Constraint Changes. - Mohamed Trabelsi, Aidan Boyd, Jin Cao, Hüseyin Uzunalioglu:
Time Series Language Model for Descriptive Caption Generation. - Pu Yang, Bin Dong:
MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning. - Zhengkai Tu, Sourabh J. Choure, Mun Hong Fong, Jihye Roh, Itai Levin, Kevin Yu, Joonyoung F. Joung, Nathan Morgan, Shih-Cheng Li, Xiaoqi Sun, Huiqian Lin, Mark Murnin, Jordan P. Liles, Thomas J. Struble, Michael E. Fortunato, Mengjie Liu, William H. Green Jr., Klavs F. Jensen, Connor W. Coley:
ASKCOS: an open source software suite for synthesis planning. - Marina Sapir:
Practical machine learning is learning on small samples. - Kai Xiong, Zhen Chen, Juefei Xie, Supeng Leng, Chau Yuen:
Digital Twin-based SIM Communication and Flight Control for Advanced Air Mobility. - Tse-Wei Chen, Wei Tao, Dongyue Zhao, Kazuhiro Mima, Tadayuki Ito, Kinya Osa, Masami Kato:
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation. - Zeke Xie, Zheng He, Nan Lu, Lichen Bai, Bao Li, Shuo Yang, Mingming Sun, Ping Li:
Learning from Ambiguous Data with Hard Labels. - Yunshuang Yuan, Frank Thiemann, Monika Sester:
Semantic Segmentation for Sequential Historical Maps by Learning from Only One Map. - Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, John C. S. Lui:
Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification. - Yuxin Zhang, Haoyu Chen, Zheng Lin, Zhe Chen, Jin Zhao:
LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data. - Huaxiang Zhang, Kai Liu, Zhongxue Gan, Guo-Niu Zhu:
UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery. - Thomas J. Smart, Bilen Emek Abali, Hans Boschker, Wolfgang Braun:
Deposition Rates in Thermal Laser Epitaxy: Simulation and Experiment. - Ziqi Liang, Xulong Zhang, Chang Liu, Xiaoyang Qu, Weifeng Zhao, Jianzong Wang:
CycleFlow: Leveraging Cycle Consistency in Flow Matching for Speaker Style Adaptation. - Jiajia Liang:
Towards Hard and Soft Shadow Removal via Dual-Branch Separation Network and Vision Transformer. - Rachneet Sachdeva, Rima Hazra, Iryna Gurevych:
Turning Logic Against Itself : Probing Model Defenses Through Contrastive Questions. - Jeongju Sohn, Ezekiel O. Soremekun, Michail Papadakis:
Latent Mutants: A large-scale study on the Interplay between mutation testing and software evolution. - Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An:
DFF: Decision-Focused Fine-tuning for Smarter Predict-then-Optimize with Limited Data. - Pengzhou Chen, Jingzhi Gong, Tao Chen:
Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning. - Luca Collorone, Stefano D'Arrigo, Massimiliano Pappa, Guido Maria D'Amely di Melendugno, Giovanni Ficarra, Fabio Galasso:
ANTHROPOS-V: benchmarking the novel task of Crowd Volume Estimation. - Xinze Li, Yixin Cao, Yubo Ma, Aixin Sun:
Long Context vs. RAG for LLMs: An Evaluation and Revisits. - Apaar Bawa, Ugur Kursuncu, Dilshod Achilov, Valerie L. Shalin, Nitin Agarwal, Esra Akbas:
Telegram as a Battlefield: Kremlin-related Communications during the Russia-Ukraine Conflict. - Zhen Tian, Zhihao Lin, Dezong Zhao, Wenjing Zhao, David Flynn, Shuja Ansari, Chongfeng Wei:
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey. - Gordon Lee, Simeon Sayer:
Exploring Equality: An Investigation into Custom Loss Functions for Fairness Definitions. - Shvetank Prakash, Andrew Cheng, Jason Yik, Arya Tschand, Radhika Ghosal, Ikechukwu Uchendu, Jessica Quaye, Jeffrey Ma, Shreyas Grampurohit, Sofia Giannuzzi, Arnav Balyan, Fin Amin, Aadya Pipersenia, Yash Choudhary, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi:
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture. - Siyuan Huang, Liliang Chen, Pengfei Zhou, Shengcong Chen, Zhengkai Jiang, Yutao Hu, Peng Gao, Hongsheng Li, Maoqing Yao, Guanghui Ren:
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation. - Sebastian Krügel, Andreas Ostermaier, Matthias Uhl:
ChatGPT's advice drives moral judgments with or without justification. - Tim Ophelders, Anna Schenfisch:
Sweeping Orders for Simplicial Complex Reconstruction. - Zadia Codabux, Fatemeh H. Fard, Roberto Verdecchia, Fabio Palomba, Dario Di Nucci, Gilberto Recupito:
Teaching Mining Software Repositories. - Yifan Du, Zikang Liu, Yifan Li, Wayne Xin Zhao, Yuqi Huo, Bingning Wang, Weipeng Chen, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen:
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM. - Fabrício Olivetti de França:
Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization. - Mahdi Saberi, Chi Zhang, Mehmet Akçakaya:
Detecting and Mitigating Adversarial Attacks on Deep Learning-Based MRI Reconstruction Without Any Retraining. - Nuno Neves:
Mingling with the Good to Backdoor Federated Learning. - Augustinas Jucas, Chirag Raman:
Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting. - Jarin Ritu, Amirmohammad Mohammadi, Davelle Carreiro, Alexandra Van Dine, Joshua Peeples:
Structural and Statistical Audio Texture Knowledge Distillation (SSATKD) for Passive Sonar Classification. - Po-Wei Tang, Chia-Hsiang Lin, Yangrui Liu:
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing. - Jiaming Li, Jiacheng Zhang, Zequn Jie, Lin Ma, Guanbin Li:
Mitigating Hallucination for Large Vision Language Model by Inter-Modality Correlation Calibration Decoding. - Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang:
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction. - Manh Duong Nguyen, Dac Thai Nguyen, Trung Viet Nguyen, Homi Yamada, Huy Hieu Pham, Phi Le Nguyen:
Bridging Classification and Segmentation in Osteosarcoma Assessment via Foundation and Discrete Diffusion Models. - Shagun Sinha:
Abstractive Text Summarization for Contemporary Sanskrit Prose: Issues and Challenges. - Ahmad Peyvan, Varun Kumar:
Fusion DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic Flows on Arbitrary Grids. - Vishal Sunder, Eric Fosler-Lussier:
Improving Transducer-Based Spoken Language Understanding with Self-Conditioned CTC and Knowledge Transfer. - Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu:
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. - Wenyan Cong, Kevin Wang, Jiahui Lei, Colton Stearns, Yuanhao Cai, Dilin Wang, Rakesh Ranjan, Matt Feiszli, Leonidas J. Guibas, Zhangyang Wang, Weiyao Wang, Zhiwen Fan:
VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment. - Yinkai Wang, Xiaohui Chen, Liping Liu, Soha Hassoun:
MADGEN: Mass-Spec attends to De Novo Molecular generation. - Cheng Wan, Runkai Tao, Zheng Du, Yang Katie Zhao, Yingyan Celine Lin:
MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators. - Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen:
Metadata Conditioning Accelerates Language Model Pre-training. - Chaoyou Fu, Haojia Lin, Xiong Wang, Yifan Zhang, Yunhang Shen, Xiaoyu Liu, Haoyu Cao, Zuwei Long, Heting Gao, Ke Li, Long Ma, Xiawu Zheng, Rongrong Ji, Xing Sun, Caifeng Shan, Ran He:
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction. - Hyunwook Kim, Revathy Venkataramanan, Amit P. Sheth:
A Survey on Food Ingredient Substitutions. - Jiahao Qin, Feng Liu:
STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNs. - Jiahao Qin, Feng Liu:
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention. - Daniel Andrés Díaz-Pachón, H. Renata Gallegos, Ola Hössjer, J. Sunil Rao:
Statistical learning does not always entail knowledge. - Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer:
Optimal bounds for dissatisfaction in perpetual voting. - Di Jin, Xing Liu, Yu Liu, Jia Qing Yap, Andrea Wong, Adriana Crespo, Qi Lin, Zhiyuan Yin, Qiang Yan, Ryan Ye:
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models. - Yuwei Du, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang:
Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs. - Hyunho Ha, Inseung Hwang, Néstor Monzón, Jaemin Cho, Donggun Kim, Seung-Hwan Baek, Adolfo Muñoz, Diego Gutierrez, Min H. Kim:
Polarimetric BSSRDF Acquisition of Dynamic Faces. - Yash Agrawal, Srinidhi Balasubramanian, Rahul Meena, Rohail Alam, Himanshu Malviya, Rohini P:
Optical Character Recognition using Convolutional Neural Networks for Ashokan Brahmi Inscriptions. - Xiujie Song, Xiaoyi Pang, Haifeng Tang, Mengyue Wu, Kenny Q. Zhu:
Is Your Image a Good Storyteller? - Riling Wei, Hanjie Chen, Kelu Yao, Chuanguang Yang, Jun Wang, Chao Li:
ECG-guided individual identification via PPG. - Pinar Yozgatli, Yavuz Acar, Mehmet Tulumen, Selman Minga, Salih Selamet, Beytullah Nalbant, Mustafa Talha Toru, Berna Koca, Tevfik Keles, Mehmet Selcok:
Fall Detection in Passenger Elevators using Intelligent Surveillance Camera Systems: An Application with YoloV8 Nano Model. - Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models. - Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain:
Gender Bias in Text-to-Video Generation Models: A case study of Sora. - Jianfei Xu, Thanet Markchom, Huizhi Liang:
CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs. - Sophia Nguyen, Beihao Zhou, Yi Ding, Sihang Liu:
Towards Sustainable Large Language Model Serving. - Lahcen El Fatimi, Elhoucine Elfatimi, Hanifa Bouchaneb:
A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validation. - Timotheus Kampik, Juan Carlos Nieves:
Disagree and Commit: Degrees of Argumentation-based Agreements. - Alexander Du, Yingwu Zhu:
A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation. - Ebrahim Navid Sadjadi, Jesús García, José M. Molina, Akbar Hashemi Borzabadi, Monireh Asadi Abchouyeh:
Fuzzy Model Identification and Self Learning with Smooth Compositions. - Mao Xun Huang, Hen-Hsen Huang:
SmartSpatial: Enhancing the 3D Spatial Arrangement Capabilities of Stable Diffusion Models and Introducing a Novel 3D Spatial Evaluation Framework. - Sharvaree P. Vadgama, Mohammad Mohaiminul Islam, Domas Buracus, Christian Shewmake, Erik J. Bekkers:
On the Utility of Equivariance and Symmetry Breaking in Deep Learning Architectures on Point Clouds. - You Zhou, Changsheng You, Kaibin Huang:
Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading. - Guhan Sivakumar:
HMM-LSTM Fusion Model for Economic Forecasting. - Delin An, Chaoli Wang:
SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization. - Jianfeng Xu, Congcong Liu, Xiaoying Tan, Xiaojie Zhu, Anpeng Wu, Huan Wan, Weijun Kong, Chun Li, Hu Xu, Kun Kuang, Fei Wu:
General Information Metrics for Improving AI Model Training Efficiency. - Xi Yu, Tiejun Lv, Weicai Li, Wei Ni, Dusit Niyato, Ekram Hossain:
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction. - Yannis Y. He:
TART: Token-based Architecture Transformer for Neural Network Performance Prediction. - Ismail Zrigui, Samira Khoulji, Mohamed Larbi Kerkeb:
Integrated Strategy for Urban Traffic Optimization: Prediction, Adaptive Signal Control, and Distributed Communication via Messaging. - Youcheng Huang, Chen Huang, Duanyu Feng, Wenqiang Lei, Jiancheng Lv:
Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts. - Antoine Ledent, Peng Liu:
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach. - Giuseppe Nicoletta, Mauro Daniel Luigi Bruno, Peng Yu, Zhiming Wang, Maria Penelope De Santo, Roberto Caputo, Antonio Ferraro:
Anti-counterfeiting tags with camouflaged QR codes on nanocavities, using polymer-dispersed-liquid-crystals. - Keng Hou Leong, Yuxuan Xiu, Wai Kin Chan:
Information Subtraction: Learning Representations for Conditional Entropy. - Masahiro Matsumoto, Abu Saleh Musa Miah, Nobuyoshi Asai, Jungpil Shin:
Machine Learning-Based Differential Diagnosis of Parkinson's Disease Using Kinematic Feature Extraction and Selection. - Hwa Hui Tew, Gaoxuan Li, Fan Ding, Xuewen Luo, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan:
KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes. - Hwa Hui Tew, Fan Ding, Gaoxuan Li, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan:
ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing. - Axel Schaffland:
Rephotography in the Digital Era: Mass Rephotography and re.photos, the Web Portal for Rephotography. - João Fonseca, Andrew Bell, Julia Stoyanovich:
Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs. - Radha Nagarajan, Marco Scutari:
Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology. - Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng, Liang He:
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. - Aditya Prakash:
Weakly Supervised Learning on Large Graphs. - Elhoucine Elfatimi, Lahcen El Fatimi:
Model Checking in Medical Imaging for Tumor Detection and Segmentation. - Aashish Cheruvu, Nathaniel Rigoni:
RealDiffFusionNet: Neural Controlled Differential Equation Informed Multi-Head Attention Fusion Networks for Disease Progression Modeling Using Real-World Data. - Kaleem Ullah Qasim, Jiashu Zhang, Tariq Alsahfi, Ateeq Ur Rehman Butt:
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models. - Ziwei Zheng, Junyao Zhao, Le Yang, Lijun He, Fan Li:
Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models. - Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos, Tim Nadolsky, Cheng-Yun Yang, Nikita Ravi, James C. Davis, Kristen Yeon-Ji Yun, Yung-Hsiang Lu:
Detecting Music Performance Errors with Transformers. - Zhixuan Cao, Ming Han, Jingtao Wang, Meng Jia:
CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System. - Zhang Sheng, Liangliang Song, Yanbin Wang:
Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection. - Stella Girtsou, Emiliano Diaz Salas-Porras, Lilli Freischem, Joppe Massant, Kyriaki-Margarita Bintsi, Guiseppe Castiglione, William Jones, Michael Eisinger, Emmanuel Johnson, Anna Jungbluth:
3D Cloud reconstruction through geospatially-aware Masked Autoencoders. - Tianyu Cheng, Qun Chen:
Deep Clustering via Community Detection. - David Sánchez Pedroche, Daniel Amigo, Jesús García, José M. Molina:
Architecture for Trajectory-Based Fishing Ship Classification with AIS Data. - Fan Bu, Zheng Wang, Siyi Wang, Ziyao Liu:
An Investigation into Value Misalignment in LLM-Generated Texts for Cultural Heritage. - Juntao Zhang, Shaogeng Liu, Kun Bian, You Zhou, Pei Zhang, Jianning Liu, Jun Zhou, Bingyan Liu:
A Separable Self-attention Inspired by the State Space Model for Computer Vision. - Songjie Han, Yinhua Liu, Yanzheng Li, Hua Chen, Dongmei Yang:
MRG: A Multi-Robot Manufacturing Digital Scene Generation Method Using Multi-Instance Point Cloud Registration. - Christopher Burger, Charles Walter, Thai Le, Lingwei Chen:
Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI. - Jianping He, Laila Rasmy, Degui Zhi, Cui Tao:
Advancing Pancreatic Cancer Prediction with a Next Visit Token Prediction Head on top of Med-BERT. - Yuanpeng Tu, Xi Chen, Ser-Nam Lim, Hengshuang Zhao:
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data. - Evan R. Antoniuk, Peggy Li, Nathan Keilbart, Stephen Weitzner, Bhavya Kailkhura, Anna M. Hiszpanski:
Active Learning Enables Extrapolation in Molecular Generative Models. - Junfeng Jiao, Saleh Afroogh, Kevin Chen, David Atkinson, Amit Dhurandhar:
AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models. - Nisha Huang, Kaer Huang, Yifan Pu, Jiangshan Wang, Jie Guo, Yiqiang Yan, Xiu Li:
ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing. - Vasileios Magoulianitis, Jiaxin Yang, Catherine A. Alexander, C.-C. Jay Kuo:
RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction In MRI Prostate Cancer Detection. - Roseval Malaquias Junior, Ramon Pires, Thales Sales Almeida, Kenzo Miranda Sakiyama, Roseli A. F. Romero, Rodrigo Nogueira:
The interplay between domain specialization and model size: a case study in the legal domain. - Abhishek Srinivasan, Varun Singapuri Ravi, Juan Carlos Andresen, Anders Holst:
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection. - Aida Davani, Sunipa Dev, Héctor Pérez-Urbina, Vinodkumar Prabhakaran:
A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations. - Pratyush Kumar Singh, Danial Faghihi:
Chance Constrained PDE-Constrained Optimal Design Strategies Under High-Dimensional Uncertainty. - Voncarlos M. Araújo, Ines Rili, Thomas Gisiger, Sébastien Gambs, Elsa Vasseur, Marjorie Cellier, Abdoulaye Baniré Diallo:
AI-Powered Cow Detection in Complex Farm Environments. - Justin Kasowski, Michael Beyeler:
Simulated prosthetic vision identifies checkerboard as an effective raster pattern for retinal implants. - Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei:
Instruction-Following Pruning for Large Language Models. - Mehrdad Moghimi, Hyejin Ku:
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning. - Matheus de Morais Leça, Ronnie de Souza Santos:
Curious, Critical Thinker, Empathetic, and Ethically Responsible: Essential Soft Skills for Data Scientists in Software Engineering. - Ming Yin, Mengdi Wang, Yu-Xiang Wang:
On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures. - Anna Wróblewska, Marceli Korbin, Yoed N. Kenett, Daniel Dan, Maria Ganzha, Marcin Paprzycki:
Applying Text Mining to Analyze Human Question Asking in Creativity Research. - Seyed Ali Akhavani, Engin Kirda, Amin Kharraz:
PriveShield: Enhancing User Privacy Using Automatic Isolated Profiles in Browsers. - Adam Alami, Neil A. Ernst:
Human and Machine: How Software Engineers Perceive and Engage with AI-Assisted Code Reviews Compared to Their Peers. - Ali Baheri, Peng Wei:
SMTL: A Stratified Logic for Expressive Multi-Level Temporal Specifications. - Philip S. Chodrow:
Equivalence of Informations Characterizes Bregman Divergences. - Jin Li, Kleanthis Malialis, Stelios G. Vrachimis, Marios M. Polycarpou:
Online Detection of Water Contamination Under Concept Drift. - Ishaan Maitra, Raymond Lin, Eric Chen, Jon Donnelly, Sanja Scepanovic, Cynthia Rudin:
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data. - Tobias Trein, Luan Fonseca Garcia:
Siamese Networks for Cat Re-Identification: Exploring Neural Models for Cat Instance Recognition. - Zhaoyuan Gu, Junheng Li, Wenlan Shen, Wenhao Yu, Zhaoming Xie, Stephen McCrory, Xianyi Cheng, Abdulaziz Shamsah, Robert Griffin, C. Karen Liu, Abderrahmane Kheddar, Xue Bin Peng, Yuke Zhu, Guanya Shi, Quan Nguyen, Gordon Cheng, Huijun Gao, Ye Zhao:
Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning. - Saber Jafarizadeh:
Fastest mixing reversible Markov chain on friendship graph: Trade-off between transition probabilities among friends and convergence rate. - Kevin Lopez, Amin Rezaei:
K-Gate Lock: Multi-Key Logic Locking Using Input Encoding Against Oracle-Guided Attacks. - Parag Khanna, Elmira Yadollahi, Iolanda Leite, Mårten Björkman, Christian Smith:
How do Humans take an Object from a Robot: Behavior changes observed in a User Study. - Tomer Jordi Chaffer, Dontrail Cotlage, Justin Goldston:
A hybrid marketplace of ideas. - Jørgen Kvalsvik:
Modified Condition/Decision Coverage in the GNU Compiler Collection. - Sanjoy Chowdhury, Sayan Nag, Subhrajyoti Dasgupta, Yaoting Wang, Mohamed Elhoseiny, Ruohan Gao, Dinesh Manocha:
AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs. - Slobodan Mitrovic, Ronitt Rubinfeld, Mihir Singhal:
Locally computing edge orientations. - Kyla Levin, Kyle Gwilt, Emery D. Berger, Stephen N. Freund:
Effective LLM-Driven Code Generation with Pythoness. - Zhaobin Mo, Yunlong Li, Xuan Di:
SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets. - Yanxi Chen, Yi Su, Celine Dumitrascu, Kewei Chen, David Weidman, Richard J. Caselli, Nicholas Ashton, Eric M. Reiman, Yalin Wang:
Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN. - Umesh Yadav, Suman Niroula, Gaurav Kumar Gupta, Bicky Yadav:
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50. - Yang Yang, Houjian Yu, Xibai Lou, Yuanhao Liu, Changhyun Choi:
Attribute-Based Robotic Grasping with Data-Efficient Adaptation. - Yilin Li, Weining Shen:
From Images to Detection: Machine Learning for Blood Pattern Classification. - Zhenjie Sun, Naihao Deng, Haofei Yu, Jiaxuan You:
Table as Thought: Exploring Structured Thoughts in LLM Reasoning. - Ehsan Shams:
Resolving the Exploration-Exploitation Dilemma in Evolutionary Algorithms: A Novel Human-Centered Framework. - Chien-Ping Lu:
The Race to Efficiency: A New Perspective on AI Scaling Laws. - Steven Au, Cameron J. Dimacali, Ojasmitha Pedirappagari, Namyong Park, Franck Dernoncourt, Yu Wang, Nikos Kanakaris, Hanieh Deilamsalehy, Ryan A. Rossi, Nesreen K. Ahmed:
Personalized Graph-Based Retrieval for Large Language Models. - Zhizheng Liu, Joe Lin, Wayne Wu, Bolei Zhou:
Joint Optimization for 4D Human-Scene Reconstruction in the Wild. - Ji-Wang Luo, Li Chen, Kentaro Yaji, Wen-Quan Tao:
Unveiling the gap between continuous and discrete adjoint lattice Boltzmann methods. - Ryan Karbowniczak, Rasha Karakchi:
Optimizing Sequence Alignment with Scored NFAs. - Yinchuan Wang, Bin Ren, Xiang Zhang, Pengyu Wang, Chaoqun Wang, Rui Song, Yibin Li, Max Q.-H. Meng:
ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain with Ground Vehicle. - Chaoyi Tan, Wenqing Zhang, Zhen Qi, Kowei Shih, Xinshi Li, Ao Xiang:
Generating Multimodal Images with GAN: Integrating Text, Image, and Style. - Umar Safdar, Simon Gabrael:
The Integration of Blockchain and Artificial Intelligence for Secure Healthcare Systems. - Beatrice Casey, Kaia Damian, Andrew Cotaj, Joanna C. S. Santos:
An Empirical Study of Safetensors' Usage Trends and Developers' Perceptions. - Casey D. Majhor, Jeremy P. Bos:
Multifractal Terrain Generation for Evaluating Autonomous Off-Road Ground Vehicles. - Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen:
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. - Peihong Yu, Manav Mishra, Syed Zaidi, Pratap Tokekar:
TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication. - Xianrong Yao, Chengzhang Yu, Lingde Hu, Yincheng Jin, Yang Gao, Zhanpeng Jin:
IMUFace: Real-Time, Low-Power, Continuous 3D Facial Reconstruction Through Earphones. - Peiyang Yu, Zeqiu Xu, Jiani Wang, Xiaochuan Xu:
The Application of Large Language Models in Recommendation Systems. - Ren Hu, Pan Lian:
Phase Retrieval by Quaternionic Reweighted Amplitude Flow on Image Reconstruction. - Yaodan Xu, Sheng Zhou, Zhisheng Niu:
SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services. - Ying Chen, Jiajing Chen, Yijie Weng, ChiaHua Chang, Dezhi Yu, Guanbiao Lin:
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation. - Yuwei Geng, Lili Ju, Boris Kramer, Zhu Wang:
Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference. - Ahmed A. Elgohary, Sameh A. Eisa, Shivam Bajpai:
Model-Free and Real-Time Bioinspired Unicycle-Based Source Seeking: Differential Wheeled Robotic Experiments. - Zongxia Li, Xiyang Wu, Hongyang Du, Huy Nghiem, Guangyao Shi:
Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey. - Jianwei Wang, Kai Wang, Ying Zhang, Wenjie Zhang, Xiwei Xu, Xuemin Lin:
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing. - Shixuan Liu, Haoxiang Cheng, Yunfei Wang, Yue He, Changjun Fan, Zhong Liu:
EvoPath: Evolutionary Meta-path Discovery with Large Language Models for Complex Heterogeneous Information Networks. - Jianwei Wang, Yuehai Wang, Kai Wang, Xuemin Lin, Wenjie Zhang, Ying Zhang:
Ensemble-based Deep Multilayer Community Search. - Gang Liu, Haitao Wang:
An Optimal Algorithm for Half-plane Hitting Set. - Jiaxin Duan, Fengyu Lu, Junfei Liu:
CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction. - Zhongyi Zhou, Yaxin Peng, Pin Yi, Minjie Zhu, Chaomin Shen:
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning. - Taegu Kim, Tae Sup Yun, Hyoung Suk Suh:
Can ChatGPT implement finite element models for geotechnical engineering applications? - Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Fang Liu, Shuyuan Yang:
Learning Evolution via Optimization Knowledge Adaptation. - Chongyan Chen, Yu-Yun Tseng, Zhuoheng Li, Anush Venkatesh, Danna Gurari:
Accounting for Focus Ambiguity in Visual Questions. - Sungchan Yi:
Secure IAM on AWS with Multi-Account Strategy. - Hua Zheng, Wei Xie, Ilya O. Ryzhov, Keilung Choy:
Digital Twin Calibration with Model-Based Reinforcement Learning. - Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma:
Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies. - Messi H. J. Lee:
Examining the Robustness of Homogeneity Bias to Hyperparameter Adjustments in GPT-4. - Yifan Zhao, Zeyu Sun, Guoqing Wang, Qingyuan Liang, Yakun Zhang, Yiling Lou, Dan Hao, Lu Zhang:
Automatically Learning a Precise Measurement for Fault Diagnosis Capability of Test Cases. - Zhongwei Wang, Tong Wu, Zhiyong Chen, Liang Qian, Yin Xu, Meixia Tao:
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning. - Kanefumi Matsuyama, Kefan Su, Jiangxing Wang, Deheng Ye, Zongqing Lu:
CORD: Generalizable Cooperation via Role Diversity. - Shijie Wang, Wenqi Fan, Yue Feng, Xinyu Ma, Shuaiqiang Wang, Dawei Yin:
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. - S. M. Mostaq Hossain, Amani Altarawneh, Jesse Roberts:
Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection. - Wei Liu, Yonglin Wu, Chaoqun Li, Zhuodong Liu, Huanqian Yan:
Distillation-Enhanced Physical Adversarial Attacks. - Yasith Samaradivakara, Asela Pathirage, Thavindu Ushan, Prasanth Sasikumar, Kasun Karunanayaka, Chamath Keppitiyagama, Suranga Nanayakkara:
Tailored Real-time AR Captioning Interface for Enhancing Learning Experience of Deaf and Hard-of-Hearing (DHH) Students. - Camille Barboule, Benjamin Piwowarski, Yoan Chabot:
Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends. - Yi-Te Lu, Yintong Huo:
Financial Named Entity Recognition: How Far Can LLM Go? - Yangze Zhou, Guoxin Lin, Gonghao Zhang, Yi Wang:
Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors. - Yuan Tian, Bin Zhang, Xiaodong Shao, David Navarro-Alarcon:
Encircling General 2-D Boundaries by Mobile Robots with Collision Avoidance: A Vector Field Guided Approach. - Longfei Zhao, Jingbo Tan, Jintao Wang, Ian F. Akyildiz, Zhi Sun:
Covering Underwater Shadow Zones using Acoustic Reconfigurable Intelligent Surfaces. - Mengting Wei, Tuomas Varanka, Xingxun Jiang, Huai-Qian Khor, Guoying Zhao:
MagicFace: High-Fidelity Facial Expression Editing with Action-Unit Control. - Naseem Alsadi:
The Convergence of Blockchain Technology and Islamic Economics: Decentralized Solutions for Shariah-Compliant Finance. - Javier Montalvo, Álvaro García-Martín, Pablo Carballeira, Juan C. SanMiguel:
Unsupervised Class Generation to Expand Semantic Segmentation Datasets. - Krzysztof Jassem, Michal Ciesiólka, Filip Gralinski, Piotr Jablonski, Jakub Pokrywka, Marek Kubis, Monika Jablonska, Ryszard Staruch:
LLMzSzŁ: a comprehensive LLM benchmark for Polish. - Yutao Jiang, Qiong Wu, Wenhao Lin, Wei Yu, Yiyi Zhou:
What Kind of Visual Tokens Do We Need? Training-free Visual Token Pruning for Multi-modal Large Language Models from the Perspective of Graph. - Yizhou Li, Zihua Liu, Yusuke Monno, Masatoshi Okutomi:
TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration. - Victor Nascimento Ribeiro, Nina S. T. Hirata:
Efficient Video-Based ALPR System Using YOLO and Visual Rhythm. - Milad Tatar Mamaghani, Xiangyun Zhou, Nan Yang, A. Lee Swindlehurst:
Securing Integrated Sensing and Communication Against a Mobile Adversary: A Stackelberg Game with Deep Reinforcement Learning. - Qing Chen, Michael H. Böhlen, Sven Helmer:
An experimental comparison of tree-data structures for connectivity queries on fully-dynamic undirected graphs (Extended Version). - Shahram Yadollahi, Hamed Kebriaei, Sadegh Soudjani:
Stochastic Generalized Dynamic Games with Coupled Chance Constraints. - W. Steven Gray, Erik I. Verriest:
On Symmetries in Analytic Input-Output Systems. - Yingjie Liu, Pengyu Zhang, Ziyao He, Mingsong Chen, Xuan Tang, Xian Wei:
Hyperbolic Contrastive Learning for Hierarchical 3D Point Cloud Embedding. - Akihiro Nishi, Hiroyasu Ando, Meaghan Woody, Kamal Nayan Reddy Challa:
Making the Peers' Subjective Well-being Visible Impairs Cooperator-centered Experimental Social Networks. - Juan Pedro Hecht, Hugo Daniel Scolnik:
Post-Quantum Key Agreement Protocols Based on Modified Matrix-Power Functions over Singular Random Integer Matrix Semirings. - Yachao Zhao, Bo Wang, Yan Wang:
Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection. - Dandan Zhang, Wen Fan, Jialin Lin, Haoran Li, Qingzheng Cong, Weiru Liu, Nathan F. Lepora, Shan Luo:
Design and Benchmarking of A Multi-Modality Sensor for Robotic Manipulation with GAN-Based Cross-Modality Interpretation. - Rasmus S. Lunding, Sebastian Hubenschmid, Tiare Feuchtner, Kaj Grønbæk:
ARTHUR: Authoring Human-Robot Collaboration Processes with Augmented Reality using Hybrid User Interfaces. - Martin Farach-Colton, Andrew Krapivin, William Kuszmaul:
Optimal Bounds for Open Addressing Without Reordering. - Kareem T. Elgindy:
Fourier-Gegenbauer Integral-Galerkin Method for Solving the Advection-Diffusion Equation With Periodic Boundary Conditions. - Xia Xie, Kexin Fan, Wenfeng Deng, Nikolaos Pappas, Qinyu Zhang:
Multi-Satellite Beam Hopping and Power Allocation Using Deep Reinforcement Learning. - Siqi Wei, Victoria Guenter, Raymond J. Spiteri:
Improving the stability and efficiency of high-order operator-splitting methods. - William Kuszmaul, Michael Mitzenmacher:
Efficient d-ary Cuckoo Hashing at High Load Factors by Bubbling Up. - Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang:
DiffGraph: Heterogeneous Graph Diffusion Model. - Liye Jia, Runwei Guan, Haocheng Zhao, Qiuchi Zhao, Ka Lok Man, Jeremy S. Smith, Limin Yu, Yutao Yue:
RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar. - Yulong Li, Bolin Ren, Ke Hu, Changyuan Liu, Zhengyong Jiang, Kang Dang, Jionglong Su:
KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation. - Seyed Mahdi B. Azad, Zahra Padar, Gabriel Kalweit, Joschka Boedecker:
SR-Reward: Taking The Path More Traveled. - Jodi M. Casabianca, Daniel F. McCaffrey, Matthew S. Johnson, Naim Alper, Vladimir Zubenko:
Validity Arguments For Constructed Response Scoring Using Generative Artificial Intelligence Applications. - Yimeng Li, Yulin Shao:
Connecting the Unconnectable through Feedback. - Zhuomin He, Yizhen Yao, Pengfei Zuo, Bin Gao, Qinya Li, Zhenzhe Zheng, Fan Wu:
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference. - L. C. Gilbert:
Evaluation of the Code Generation Capabilities of ChatGPT 4: A Comparative Analysis in 19 Programming Languages. - Yonglin Tian, Fei Lin, Yiduo Li, Tengchao Zhang, Qiyao Zhang, Xuan Fu, Jun Huang, Xingyuan Dai, Yutong Wang, Chunwei Tian, Bai Li, Yisheng Lv, Levente Kovács, Fei-Yue Wang:
UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility. - Yahya Sowti Khiabani, Farris Atif, Chieh Hsu, Sven Stahlmann, Tobias Michels, Sebastian Kramer, Benedikt Heidrich, M. Saquib Sarfraz, Julian Merten, Faezeh Tafazzoli:
Optimizing Small Language Models for In-Vehicle Function-Calling. - Hieu D. Nguyen, Brandon McHenry, Thanh Nguyen, Harper Zappone, Anthony Thompson, Chau Tran, Anthony Segrest, Luke Tonon:
Accurate Crop Yield Estimation of Blueberries using Deep Learning and Smart Drones. - Friedrich Eisenbrand, Thomas Rothvoss:
A parameterized linear formulation of the integer hull. - Sanghyun Park, Boris Maciejovsky, Phanish Puranam:
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving. - Abbaas Alif Mohamed Nishar, Shrinivas Kudekar, Bernard Kintzing, Ashwin Ashok:
Revelio: A Real-World Screen-Camera Communication System with Visually Imperceptible Data Embedding. - Zhaokang Ke, Haoyu Gong, David H. C. Du:
PM-Dedup: Secure Deduplication with Partial Migration from Cloud to Edge Servers. - Ali Ghanbarzade, Hossein Soleimani:
GNSS/GPS Spoofing and Jamming Identification Using Machine Learning and Deep Learning. - Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka:
Reweighting Improves Conditional Risk Bounds. - Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu:
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy. - Kuan-Hung Liu, Cheng-Kun Yang, Min-Hung Chen, Yu-Lun Liu, Yen-Yu Lin:
CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models. - Pablo Barceló, Roberto Cominetti, M. Morgado:
When is the Computation of a Feature Attribution Method Tractable? - Cagri Sayallar:
Context Aware Lemmatization and Morphological Tagging Method in Turkish. - Ambroise Odonnat, Wassim Bouaziz, Vivien Cabannes:
Easing Optimization Paths: a Circuit Perspective. - Sichao Wang, Ming Yuan, Chuang Zhang, Qing Xu, Lei He, Jianqiang Wang:
V2X-DGPE: Addressing Domain Gaps and Pose Errors for Robust Collaborative 3D Object Detection. - Alec S. Xu, Can Yaras, Peng Wang, Qing Qu:
Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data. - Ravirajan K, Arvind Sundarajan:
Enhancing Workplace Productivity and Well-being Using AI Agent. - Tamon Nakano, Sebastian Baur, Christoph Räth:
Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing. - Tsz Kin Lam, Marco Gaido, Sara Papi, Luisa Bentivogli, Barry Haddow:
Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison. - Chia-Yi Hsu, Yu-Lin Tsai, Yu Zhe, Yan-Lun Chen, Chih-Hsun Lin, Chia-Mu Yu, Yang Zhang, Chun-Ying Huang, Jun Sakuma:
BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors. - Wenhao Wang, Yifan Sun, Zongxin Yang, Zhentao Tan, Zhengdong Hu, Yi Yang:
Generalizable Origin Identification for Text-Guided Image-to-Image Diffusion Models. - Fatih Dinc, Ege Çirakman, Yiqi Jiang, Mert Yüksekgönül, Mark J. Schnitzer, Hidenori Tanaka:
A ghost mechanism: An analytical model of abrupt learning. - Robert Joseph George, David Pitt, Jiawei Zhao, Jean Kossaifi, Cheng Luo, Yuandong Tian, Anima Anandkumar:
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition. - Dave Dice, Alex Kogan:
Reciprocating Locks. - Kangyu Zhu, Ziyuan Qin, Huahui Yi, Zekun Jiang, Qicheng Lao, Shaoting Zhang, Kang Li:
Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. - Surbhit Kumar:
Syntactic Evolution in Language Usage. - Markus J. Buehler:
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers. - Antoine Boutet, Zakaria El Kazdam, Lucas Magnana, Helain Zimmermann:
Anonymization by Design of Language Modeling. - Mehmet Deniz Türkmen, Mucahid Kutlu, Bahadir Altun, Gökalp Cosgun:
GenTREC: The First Test Collection Generated by Large Language Models for Evaluating Information Retrieval Systems. - Zaikang Lin, Sei Chang, Aaron Zweig, Minseo Kang, Elham Azizi, David A. Knowles:
Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations. - Chen Qian, Tangyou Liu, Liao Wu:
JammingSnake: A follow-the-leader continuum robot with variable stiffness based on fiber jamming. - Dan Suciu, Yisu Remy Wang, Yihong Zhang:
Semantic foundations of equality saturation. - Bingjie Lu, Han-Cheng Dan, Yichen Zhang, Zhetao Huang:
Journey into Automation: Image-Derived Pavement Texture Extraction and Evaluation. - Edgar Pacheco:
Experiences and attitudes toward working remotely from home in a time of pandemic: A snapshot from a New Zealand-based online survey. - Saber Jafarizadeh:
Fastest Mixing Reversible Markov Chain: Clique Lifted Graphs and Subgraphs. - Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Chengzhong Xu, Di Wang, Jie Jiang:
Scaling Laws for Floating Point Quantization Training. - Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang:
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance. - Mingyue Kong, Yinglong Zhang, Likun Sheng, Kaifeng Hong:
Citation Structural Diversity: A Novel and Concise Metric Combining Structure and Semantics for Literature Evaluation. - Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Enzo Tartaglione:
FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance. - Binh-Nguyen Nguyen, Yang He:
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding. - Dongyu Zhang, Shengcheng Yin, Jingwei Yu, Zhiyao Wu, Zhen Li, Chengpei Xu, Xiaoxia Wang, Feng Xia:
Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification. - Yuchen Lin, Yong Zhang, Sihan Feng, Hong Zhao:
An Analysis Framework for Understanding Deep Neural Networks Based on Network Dynamics. - Zhiwei Yao, Yang Xu, Hongli Xu, Yunming Liao, Zuan Xie:
Efficient Deployment of Large Language Models on Resource-constrained Devices. - Yixiao Chen, Yue Yao, Ruining Yang, Md. Zakir Hossain, Ashu Gupta, Tom Gedeon:
Unsupervised Search for Ethnic Minorities' Medical Segmentation Training Set. - Kun Wang, Kaiyan Chang, Mengdi Wang, Xinqi Zou, Haobo Xu, Yinhe Han, Ying Wang:
RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework. - Avni Mittal, John Kalkhof, Anirban Mukhopadhyay, Arnav Bhavsar:
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation. - Hyunwoo Ko, Guijin Son, Dasol Choi:
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap. - Márcio Matheus de Lima Barboza, Francisco Márcio Barboza:
The Mean Value Theorem: Analytical Proof and Computational Approaches. - Yihang Tao, Senkang Hu, Yue Hu, Haonan An, Hangcheng Cao, Yuguang Fang:
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection. - Zijie Cheng, Boxuan Li, André Altmann, Pearse A Keane, Yukun Zhou:
Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales. - Zhongjian Cui, Chenrui Cui, Tianrui Wang, Mengnan He, Hao Shi, Meng Ge, Caixia Gong, Longbiao Wang, Jianwu Dang:
Reducing the Gap Between Pretrained Speech Enhancement and Recognition Models Using a Real Speech-Trained Bridging Module. - Gitae Park, Kanghyun Heo, Kisong Lee:
Blockage-Aware UAV-Assisted Wireless Data Harvesting With Building Avoidance. - Jonas Oppenlaender, Simo Hosio:
Keeping Score: A Quantitative Analysis of How the CHI Community Appreciates Its Milestones. - Haifeng Jia, Xinyi Chen, Yichen Wei, Yifei Sun, Yibo Pi:
Neural Reflectance Fields for Radio-Frequency Ray Tracing. - Zhe Chen, Yusheng Liao, Shuyang Jiang, Pingjie Wang, Yiqiu Guo, Yanfeng Wang, Yu Wang:
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications. - Hui Lin, Chao Zhang, Danfeng Hong, Kexin Dong, Congcong Wen:
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models. - Yuliang Guo, Sparsh Garg, S. Mahdi H. Miangoleh, Xinyu Huang, Liu Ren:
Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera. - Xinyu Zhou, Jinglun Li, Lingyi Hong, Kaixun Jiang, Pinxue Guo, Weifeng Ge, Wenqiang Zhang:
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking. - Atonu Ghosh, Sudip Misra:
LoRaConnect: Unlocking HTTP Potential on LoRa Backbones for Remote Areas and Ad-Hoc Networks. - Yishen Liu, Shengda Luo, Zishao Zhong, Tongtong Wu, Jianguo Zhang, Peiyao Ou, Yong Liang, Liang Liu, Hudan Pan:
Hengqin-RA-v1: Advanced Large Language Model for Diagnosis and Treatment of Rheumatoid Arthritis with Dataset based Traditional Chinese Medicine. - Hui Lin, Nan Li, Pengjuan Yao, Kexin Dong, Yuhan Guo, Danfeng Hong, Ying Zhang, Congcong Wen:
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing. - Chao Liang, Linchao Zhu, Zongxin Yang, Wei Chen, Yi Yang:
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data. - Ramin Zarei Sabzevar, Ahad Harati:
A Deep Positive-Negative Prototype Approach to Integrated Prototypical Discriminative Learning. - Yuheng Su, Qiusong Yang, Yiwei Ci, Ziyu Huang:
Extended CTG Generalization and Dynamic Adjustment of Generalization Strategies in IC3. - Zhengpeng Xie, Jiahang Cao, Qiang Zhang, Jianxiong Zhang, Changwei Wang, Renjing Xu:
The Meta-Representation Hypothesis. - Bhushan Santosh Shah, Deven Santosh Shah, Vahida Attar:
Decoding News Bias: Multi Bias Detection in News Articles. - Esmail Abdul Fattah, Hatem Ltaief, Håvard Rue, David E. Keyes:
sTiles: An Accelerated Computational Framework for Sparse Factorizations of Structured Matrices. - Gabriel Maher:
LLMPC: Large Language Model Predictive Control. - Chaojie Mao, Jingfeng Zhang, Yulin Pan, Zeyinzi Jiang, Zhen Han, Yu Liu, Jingren Zhou:
ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling. - Roham Koohestani, Maliheh Izadi:
Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective. - Marzieh Esnaashari, Nima Moradi:
Predicting Vulnerability to Malware Using Machine Learning Models: A Study on Microsoft Windows Machines. - Yixin Ji, Juntao Li, Hai Ye, Kaixin Wu, Jia Xu, Linjian Mo, Min Zhang:
Test-time Computing: from System-1 Thinking to System-2 Thinking. - Sung Jin Um, Dongjin Kim, Sangmin Lee, Jung Uk Kim:
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection. - Junjie Ye, Zhengyin Du, Xuesong Yao, Weijian Lin, Yufei Xu, Zehui Chen, Zaiyuan Wang, Sining Zhu, Zhiheng Xi, Siyu Yuan, Tao Gui, Qi Zhang, Xuanjing Huang, Jiecao Chen:
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. - Assaf Lahiany, Yehudit Aperstein:
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization. - Hui Li, Xiaoyu Ren, Hongjiu Yu, Huiyu Duan, Kai Li, Ying Chen, Libo Wang, Xiongkuo Min, Guangtao Zhai, Xu Liu:
Facial Attractiveness Prediction in Live Streaming: A New Benchmark and Multi-modal Method. - Takashi Harada, Takehiro Motomitsu, Katsuhiko Hayashi, Yusuke Sakai, Hidetaka Kamigaito:
Can Impressions of Music be Extracted from Thumbnail Images? - Myoungjun Chun, Jaeyong Lee, Inhyuk Choi, Jisung Park, Myungsuk Kim, Jihong Kim:
STRAW: A Stress-Aware WL-Based Read Reclaim Technique for High-Density NAND Flash-Based SSDs. - Ao Sun:
CHAIR - Classifier of Hallucination as Improver. - Minglin Chen, Longguang Wang, Sheng Ao, Ye Zhang, Kai Xu, Yulan Guo:
Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion Priors. - Carlos A. Rivera Alvarez, Xinzhang Chen, Arash Shaghaghi, Gustavo Batista, Salil S. Kanhere:
Predicting IoT Device Vulnerability Fix Times with Survival and Failure Time Models. - Dawei Dai, Mingming Jia, Yinxiu Zhou, Hang Xing, Chenghang Li:
Face-MakeUp: Multimodal Facial Prompts for Text-to-Image Generation. - Yaohui Wang, Zicong Wang, Fanfeng Meng, Yanjing Wang, Yang Ou, Lizhou Wu, Wentao Hong, Xuran Ge, Jijun Cao:
A Full-System Simulation Framework for CXL-Based SSD Memory System. - Leo Franklin, Apiradee Boonmee, Kritsada Wongsuwan:
Vision-Driven Prompt Optimization for Large Language Models in Multimodal Generative Tasks. - Haichao Liu, Kai Chen, Yulin Li, Zhenmin Huang, Ming Liu, Jun Ma:
UDMC: Unified Decision-Making and Control Framework for Urban Autonomous Driving with Motion Prediction of Traffic Participants. - Ljubisa Bojic, Dylan Seychell, Milan Cabarkapa:
Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI. - Ljubisa Bojic, Olga Zagovora, Asta Zelenkauskaite, Vuk Vukovic, Milan Cabarkapa, Selma Veseljevic Jerkovic, Ana Jovancevic:
Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm. - Hao Shu:
Pixel-Wise Feature Selection for Perceptual Edge Detection without post-processing. - Alexander Kozachinskiy, Tomasz Steifer:
A completely uniform transformer for parity. - Cuiqin Zhao, Dongya Shen, Yanming Duan, Yuting Wang, Huihui Xiao, Longxiang Luo:
Low RCS High-Gain Broadband Substrate Integrated Waveguide Antenna Based on Elliptical Polarization Conversion Metasurface. - Lijun Zhang, Yifan Zhang, Weicheng Tang, Xinzhi Sun, Xiaomeng Wang, Zhanshan Li:
AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition. - Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding:
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain. - Zherui Huang, Yicheng Liu, Chumeng Liang, Guanjie Zheng:
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control. - Ping Chen, Richard Alo, Justin Rundell:
From Language To Vision: A Case Study of Text Animation. - Jaeyoung Kim, Jongho Lee, Hong-Jun Choi, Ting-Yao Hsu, Chieh-Yang Huang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Clyde Lee Giles, Ting-Hao (Kenneth) Huang, Sungchul Choi:
Multi-LLM Collaborative Caption Generation in Scientific Documents. - Yi Zhong, Xiaohang Zhou, Ke Feng:
Spatial Network Calculus: Toward Deterministic Wireless Networking. - Minoo Dolatabadi, Fardin Ayar, Ehsan Javanmardi, Manabu Tsukada, Mahdi Javanmardi:
Neural Error Covariance Estimation for Precise LiDAR Localization. - Vasileios Papapanagiotou, Ioannis A. Sarafis, Leonidas Alagialoglou, Vasileios Gkolemis, Christos Diou, Anastasios Delopoulos:
A system for objectively measuring behavior and the environment to support large-scale studies on childhood obesity. - Zhenglai Li, Jun Wang, Chang Tang, Xinzhong Zhu, Wei Zhang, Xinwang Liu:
Balanced Multi-view Clustering. - Lin Wang, Qing Li:
Efficient Graph Condensation via Gaussian Process. - Tarek Chouaki, Sebastian Hörl, Jakob Puchinger:
A review on reinforcement learning methods for mobility on demand systems. - Vyacheslav Shen, Kassymzhomart Kunanbayev, Dae-Shik Kim:
Decoding fMRI Data into Captions using Prefix Language Modeling. - Yanzan Sun, Jiacheng Qiu, Guangjin Pan, Shugong Xu, Shunqing Zhang, Xiaoyun Wang, Shuangfeng Han:
Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach. - Jiaping Wang, Simiao Zhang, Qiao-Chu He, Yifan Chen:
LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations. - Ziyang Song, Zerong Wang, Bo Li, Hao Zhang, Ruijie Zhu, Li Liu, Peng-Tao Jiang, Tianzhu Zhang:
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation. - Virendra Kumar Gautam:
Asynchronism in Cellular Automata. - Haosong Yue, Qingyuan Xu, Fei Chen, Jia Pan, Weihai Chen:
LP-ICP: General Localizability-Aware Point Cloud Registration for Robust Localization in Extreme Unstructured Environments. - Rebecca Ramnauth, Frederick Shic, Brian Scassellati:
Gaze Behavior During a Long-Term, In-Home, Social Robot Intervention for Children with ASD. - Miguel Carvalho, Bruno Martins:
Efficient Architectures for High Resolution Vision-Language Models. - Chunmei Wang, Shangyou Zhang:
Auto-Stabilized Weak Galerkin Finite Element Methods for Stokes Equations on Non-Convex Polytopal Meshes. - Jushang Qiu, Lei Wang:
Evolving Skeletons: Motion Dynamics in Action Recognition. - Beixiong Zheng, Qingjie Wu, Rui Zhang:
Rotatable Antenna Enabled Wireless Communication: Modeling and Optimization. - Iustin Sirbu, Iulia-Renata Sîrbu, Jasmina Bogojeska, Traian Rebedea:
GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation. - Jalisha Jashim Era, Bidyarthi Paul, Tahmid Sattar Aothoi, Mirazur Rahman Zim, Faisal Muhammad Shah:
Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models. - Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Esha Choukse, Haoran Qiu, Rodrigo Fonseca, Josep Torrellas, Ricardo Bianchini:
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms. - Basel Khouri, Yakir Vizel:
Revisiting DRUP-based Interpolants with CaDiCaL 2.0. - Priyanshu Singh, Kapil Ahuja:
Chameleon2++: An Efficient Chameleon2 Clustering with Approximate Nearest Neighbors. - Amol Khanna, Chenyi Ling, Derek Everett, Edward Raff, Nathan Inkawhich:
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection. - Sanya Sinha, Michal Balazia, François Brémond:
Identifying Surgical Instruments in Pedagogical Cataract Surgery Videos through an Optimized Aggregation Network. - Azra Begzadic, Nikhil Uday Shinde, Sander Tonkens, Dylan Hirsch, Kaleb Ugalde, Michael C. Yip, Jorge Cortés, Sylvia L. Herbert:
Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters. - Yifei Liu, Hengwei Ye, Shuhang Li:
LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language Alignment. - Saleh Ashkboos, Mahdi Nikdan, Soroush Tabesh, Roberto L. Castro, Torsten Hoefler, Dan Alistarh:
HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs. - Maxime Bombar, Nicolas Resch, Emiel Wiedijk:
On the Independence Assumption in Quasi-Cyclic Code-Based Cryptography. - Mahmoud Jahanshahi, Audris Mockus:
Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets. - Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Tianlong Chen, Kaixiong Zhou:
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. - Uksang Yoo, Nathaniel Dennler, Eliot Xing, Maja J. Mataric, Stefanos Nikolaidis, Jeffrey Ichnowski, Jean Oh:
Soft and Compliant Contact-Rich Hair Manipulation and Care. - Aleksei Dorkin, Taido Purason, Kairit Sirts:
Prune or Retrain: Optimizing the Vocabulary of Multilingual Models for Estonian. - Kevin Ros, Dhyey Pandya, ChengXiang Zhai:
Interactive Information Need Prediction with Intent and Context. - Chan Lee, Seungho Shin, Gyeong-Moon Park, Jung Uk Kim:
Multispectral Pedestrian Detection with Sparsely Annotated Label. - Yasaman Hakiminejad, Elizabeth Pantesco, Arash Tavakoli:
Shaping Passenger Experience: An Eye-Tracking Study of Public Transportation Built Environment. - Frederick Fernandes:
A System for Melodic Harmonization using Schoenberg Regions, Giant Steps, and Church Modes. - Abdellatif Mouhssine, Ahmed Ratnani, Hassane Sadok:
Enhancing multigrid solvers for isogeometric analysis of nonlinear problems using polynomial extrapolation techniques. - Ellis Solaiman, Christa Awad:
Trust and Dependability in Blockchain & AI Based MedIoT Applications: Research Challenges and Future Directions. - David S. Restrepo, Chenwei Wu, Yueran Jia, Jaden K. Sun, Jack Gallifant, Catherine G. Bielick, Yugang Jia, Leo A. Celi:
Representation Learning of Lab Values via Masked AutoEncoder. - Haixu Liu, Penghao Jiang, Zerui Tao, Muyan Wan, Qiuzhuang Sun:
Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features. - Shivaram Kalyanakrishnan, Sheel Shah, Santhosh Kumar Guguloth:
A New Interpretation of the Certainty-Equivalence Approach for PAC Reinforcement Learning with a Generative Model. - Vinayak M. Kumar:
New Pseudorandom Generators and Correlation Bounds Using Extractors. - Yang Wang, Chenghua Lin:
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks. - Simin Javaherian, Bryce Turney, Li Chen, Nian-Feng Tzeng:
Incentive-Compatible Federated Learning with Stackelberg Game Modeling. - Aigbe Awenlimobor, Douglas E. Smith:
Determination of Preferred Fiber Orientation State based on Newton-Raphson Method using Exact Jacobian. - Jinkun Han, Wei Li, Xhipeng Cai, Yingshu Li:
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation. - William Kuhl, Jun Wang, Duncan Eddy, Mykel Kochenderfer:
Markov Decision Processes for Satellite Maneuver Planning and Collision Avoidance. - Simon Park, Abhishek Panigrahi, Yun Cheng, Dingli Yu, Anirudh Goyal, Sanjeev Arora:
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? - Dominik K. Klein, Mokarram Hossain, Konstantin Kikinov, Maximilian Kannapinn, Stephan Rudykh, Antonio J. Gil:
Neural networks meet hyperelasticity: A monotonic approach. - Jinkun Han, Wei Li, Yingshu Li, Zhipeng Cai:
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks. - Arya Hatamian, Lionel M. Levine, Haniyeh Ehsani Oskouie, Majid Sarrafzadeh:
Exploring a Datasets Statistical Effect Size Impact on Model Performance, and Data Sample-Size Sufficiency. - Torsten Djurhuus, Viktor Krozer:
A Novel First-Principles Model of Injection-Locked Oscillator Phase Noise. - Daniel Petrov:
From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets. - Ebtesam Al Haque, Chris Brown, Thomas D. LaToza, Brittany Johnson:
Towards Decoding Developer Cognition in the Age of AI Assistants. - Harry J. Davies:
Decoding specialised feature neurons in LLMs with the final projection layer. - Weikang Bian, Zhaoyang Huang, Xiaoyu Shi, Yijin Li, Fu-Yun Wang, Hongsheng Li:
GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking. - Long Chen, Xuehai Huang:
Hybridizable Symmetric Stress Elements on the Barycentric Refinement in Arbitrary Dimensions. - Andrés Villa, Juan León Alcázar, Motasem Alfarra, Vladimir Araujo, Alvaro Soto, Bernard Ghanem:
EAGLE: Enhanced Visual Grounding Minimizes Hallucinations in Instructional Multimodal Models. - Xiaojiao Guo, Xuhang Chen, Shuqiang Wang, Chi-Man Pun:
Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis. - Binita Saha, Utsha Saha, Muhammad Zubair Malik:
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance. - Tu Anh Ngo, Chuan Song Heng, Nandish Chattopadhyay, Anupam Chattopadhyay:
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation. - Sirong Wu, Xi Luo, Junjie Liu, Yuhui Deng:
Knowledge Distillation with Adapted Weight. - Jiaze Li, Haoran Xu, Shiding Zhu, Junwei He, Haozhao Wang:
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment. - Vivek Myers, Catherine Ji, Benjamin Eysenbach:
Horizon Generalization in Reinforcement Learning. - Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li:
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. - Mehran Shoushtari Moghadam, Sercan Aygun, M. Hassan Najafi:
Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing. - Weilun Wang, Zhentong Shao, Yikui Liu, Brent Eldridge, Abhishek Somani, Jesse T. Holzer, Lei Wu:
Multi-Transmission Node DER Aggregation: Chance-Constrained Unit Commitment with Bounded Hetero-Dimensional Mixture Model for Uncertain Distribution Factors. - Naichang Ke, Ryogo Tanaka, Yoshinobu Kawahara:
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators. - Nantheera Anantrasirichai, Fan Zhang, David Bull:
Artificial Intelligence in Creative Industries: Advances Prior to 2025. - Yahe Yang, Chengyue Huang:
Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data. - Bowen Fan, Yuming Ai, Xunkai Li, Zhilin Guo, Rong-Hua Li, Guoren Wang:
OpenGU: A Comprehensive Benchmark for Graph Unlearning. - Hidekazu Yoshioka:
Kolmogorov equations for evaluating the boundary hitting of degenerate diffusion with unsteady drift. - Huiqiang Chen, Tianqing Zhu, Wanlei Zhou, Wei Zhao:
AFed: Algorithmic Fair Federated Learning. - Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi:
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences. - Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song:
Holistic Semantic Representation for Navigational Trajectory Generation. - Xue Han, Yongpeng Wu, Zhen Gao, Biqian Feng, Yuxuan Shi, Deniz Gündüz, Wenjun Zhang:
SCSC: A Novel Standards-Compatible Semantic Communication Framework for Image Transmission. - Kyungmin Kim, Sanghun Im, Gibaeg Kim, Heung-Seon Oh:
TARDiS : Text Augmentation for Refining Diversity and Separability. - Weitao Li, Xinru Zhang, Dianhui Wang, Qianqian Tong, Tianyou Chai:
Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks. - Yunlong Yuan, Yuanfan Guo, Chunwei Wang, Hang Xu, Li Zhang:
Brick-Diffusion: Generating Long Videos with Brick-to-Wall Denoising. - Wali Ullah Khan, Eva Lagunas, Symeon Chatzinotas:
Transmissive Beyond Diagonal RIS-Mounted LEO Communication for NOMA IoT Networks. - Hao Luo, Jianjun Wei, Shuchen Zhao, Ankai Liang, Zhongjin Xu, Ruxue Jiang:
Enhancing Robot Route Optimization in Smart Logistics with Transformer and GNN Integration. - Yidong Ding, Jiafei Niu, Ping Yi:
MBTSAD: Mitigating Backdoors in Language Models Based on Token Splitting and Attention Distillation. - Shengming Zhang, Le Zhang, Jingbo Zhou, Hui Xiong:
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks. - Farinaz Mostajeran, Salah A Faroughi:
Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks. - Deguo Xia, Weiming Zhang, Xiyan Liu, Wei Zhang, Chenting Gong, Xiao Tan, Jizhou Huang, Mengmeng Yang, Diange Yang:
LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating. - Yifan Li, Zhixin Lai, Wentao Bao, Zhen Tan, Anh Dao, Kewei Sui, Jiayi Shen, Dong Liu, Huan Liu, Yu Kong:
Visual Large Language Models for Generalized and Specialized Applications. - Fei Gao, Ruyue Xin, Yaqiang Zhang:
Are GNNs Effective for Multimodal Fault Diagnosis in Microservice Systems? - Ting Wang, Zhixin Zhou, Rui Luo:
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training. - Hoang-Dung Bui, Erion Plaku, Gregory J. Stein:
Multi-Agent Path Finding under Limited Communication Range Constraint via Dynamic Leading. - Tianjian Jiang, Johsan Billingham, Sebastian Müksch, Juan Jose Zarate, Nicolas Evans, Martin R. Oswald, Marc Pollefeys, Otmar Hilliges, Manuel Kaufmann, Jie Song:
WorldPose: A World Cup Dataset for Global 3D Human Pose Estimation. - Haoyu Liu, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Furu Wei, Qi Zhang:
GeAR: Generation Augmented Retrieval. - Arindam Dutta, Sarosij Bose, Saketh Bachu, Calvin-Khang Ta, Konstantinos Karydis, Amit K. Roy-Chowdhury:
Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation. - Zijian Wang, Bin Wang, Mingwen Shao, Hongbo Dou, Boxiang Tao:
Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes. - Haoxuan Yuan, Zhe Chen, Zheng Lin, Jinbo Peng, Yuhang Zhong, Xuanjie Hu, Songyan Xue, Wei Li, Yue Gao:
Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples. - Xin Cao, Qinghua Tao, Yingjie Zhou, Lu Zhang, Le Zhang, Dongjin Song, Dapeng Oliver Wu, Ce Zhu:
From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting. - Sugandha Saxena, S. N. Prasad, Ashwin M. Polnaya, Shweta Agarwala:
Hybrid deep convolution model for lung cancer detection with transfer learning. - Yuanhong Chen, Kazuki Shimada, Christian Simon, Yukara Ikemiya, Takashi Shibuya, Yuki Mitsufuji:
CCStereo: Audio-Visual Contextual and Contrastive Learning for Binaural Audio Generation. - Wenwen Xie, Geng Sun, Bei Liu, Jiahui Li, Jiacheng Wang, Hongyang Du, Dusit Niyato, Dong In Kim:
Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning. - Niloufar Eghbali, Hassan Bagher-Ebadian, Tuka Alhanai, Mohammad M. Ghassemi:
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation. - Yueqin Yin, Shentao Yang, Yujia Xie, Ziyi Yang, Yuting Sun, Hany Hassan Awadalla, Weizhu Chen, Mingyuan Zhou:
Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model. - Ye Lin, Jiwei Jia, Young Ju Lee, Ran Zhang:
Orthogonal greedy algorithm for linear operator learning with shallow neural network. - Liudong Chen, Bolun Xu:
Gaming on Coincident Peak Shaving: Equilibrium and Strategic Behavior. - Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim:
Fairness Through Matching. - Zhaoyi Yan, Zhijie Sang, Yiming Zhang, Yuhao Fu, Baoyi He, Qi Zhou, Yining Di, Chunlin Ji, Shengyu Zhang, Fei Wu, Hongxia Yang:
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion. - Saba Fathi Rabooki, Bowen Li, Falih Gozi Febrinanto, Ciyuan Peng, Elham Naghizade, Fengling Han, Feng Xia:
GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection. - Jiahao Ning, Jinhao Deng, Yuanfang Li, Chi Zhao, Jiashu Liu, Songjiang Yang, Yinghua Wang, Jie Huang, Cheng-Xiang Wang:
Ray-Tracing Channel Modeling for LEO Satellite-to-Ground Communication Systems. - Yan Hu, Mingdao Gong, Zhongxi Qiu, Jiabao Liu, Hongli Shen, Mingzhen Yuan, Xiaoqing Zhang, Heng Li, Hai Lu, Jiang Liu:
COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database. - Yimin Tang, Zhenghong Yu, Yi Zheng, T. K. Satish Kumar, Jiaoyang Li, Sven Koenig:
Enhancing Lifelong Multi-Agent Path Finding with Cache Mechanism. - Hossein Ahmadvand, Fouzhan Foroutan:
Latency and Privacy-Aware Resource Allocation in Vehicular Edge Computing. - Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian:
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene. - Zhuoxuan Liang, Wei Li, Dalin Zhang, Yidan Chen, Zhihong Wang, Xiangping Zheng, Moustafa Youssef:
DarkFarseer: Inductive Spatio-temporal Kriging via Hidden Style Enhancement and Sparsity-Noise Mitigation. - Wenxuan Xie, Yuelin Zhang, Jiwei Shan, Hongzhe Sun, Jiewen Tan, Shing Shin Cheng:
Theoretical Data-Driven MobilePosenet: Lightweight Neural Network for Accurate Calibration-Free 5-DOF Magnet Localization. - Bin Wang, Li Jing:
First-place Solution for Streetscape Shop Sign Recognition Competition. - Chunxin Zheng, Yulin Li, Zhiyuan Song, Zhihai Bi, Jinni Zhou, Boyu Zhou, Jun Ma:
Local Reactive Control for Mobile Manipulators with Whole-Body Safety in Complex Environments. - Kai Wang, Shaozhang Niu, Qixian Hao, Jiwei Zhang:
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models. - Yuezhang Lv, Yunzhou Zhang, Chao Lu, Jiajun Zhu, Song Wu:
Targetless Intrinsics and Extrinsic Calibration of Multiple LiDARs and Cameras with IMU using Continuous-Time Estimation. - Asma Alkalbani, Muhammad Saqib, Ahmed Salim Alrawahi, Abbas Anwar, Chandarnath Adak, Saeed Anwar:
RDD4D: 4D Attention-Guided Road Damage Detection And Classification. - Kavi Gupta, Kate Sanders, Armando Solar-Lezama:
Randomly Sampled Language Reasoning Problems Reveal Limits of LLMs. - Dezhi Ran, Mengzhou Wu, Yuan Cao, Assaf Marron, David Harel, Tao Xie:
An Infrastructure Software Perspective Toward Computation Offloading between Executable Specifications and Foundation Models. - Wentian Qu, Chenyu Meng, Heng Li, Jian Cheng, Cuixia Ma, Hongan Wang, Xiao Zhou, Xiaoming Deng, Ping Tan:
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation. - Syed Abdul Gaffar Shakhadri, Kruthika KR, Kartik Basavaraj Angadi:
Samba-ASR: State-Of-The-Art Speech Recognition Leveraging Structured State-Space Models. - Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang:
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation. - Qingyao Ai, Zhicheng Dou, Min Zhang:
Improving GenIR Systems Based on User Feedback. - Kuldeep Kurte, Kedar Kulkarni:
Enhanced Rooftop Solar Panel Detection by Efficiently Aggregating Local Features. - Xujin Li, Wei Wei, Shuang Qiu, Xinyi Zhang, Fu Li, Huiguang He:
Integrating Language-Image Prior into EEG Decoding for Cross-Task Zero-Calibration RSVP-BCI. - Qingyao Ai, Jingtao Zhan, Yiqun Liu:
Foundations of GenIR. - Xia Chen, Yugen Du, Guoxing Tang, Yingwei Luo, Benchi Ma:
RAHN: A Reputation Based Hourglass Network for Web Service QoS Prediction. - Yubo Wang, Haoyang Li, Fei Teng, Lei Chen:
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification. - Wentian Qu, Jiahe Li, Jian Cheng, Jian Shi, Chenyu Meng, Cuixia Ma, Hongan Wang, Xiaoming Deng, Yinda Zhang:
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation. - Ulindu De Silva, Leon Fernando, Billy Pik Lik Lau, Zann Koh, Sam Conrad Joyce, Belinda Yuen, Chau Yuen:
Large Language Models for Video Surveillance Applications. - Joonhyuk Yang, Hye Won Chung:
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery. - Anju Rani, Daniel Ortiz Arroyo, Petar Durdevic:
Synthetic Fungi Datasets: A Time-Aligned Approach. - Laetitia Bracco, Eric Jeangirard, Anne L'Hôte, Laurent Romary:
How to build an Open Science Monitor based on publications? A French perspective. - Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms. - Toomas Tahves, Junyi Gu, Mauro Bellone, Raivo Sell:
A Novel Vision Transformer for Camera-LiDAR Fusion based Traffic Object Segmentation. - Arthur Aubret, Céline Teulière, Jochen Triesch:
Seeing the Whole in the Parts in Self-Supervised Representation Learning. - Dezhi Ran, Mengzhou Wu, Hao Yu, Yuetong Li, Jun Ren, Yuan Cao, Xia Zeng, Haochuan Lu, Zexin Xu, Mengqian Xu, Ting Su, Liangchao Yao, Ting Xiong, Wei Yang, Yuetang Deng, Assaf Marron, David Harel, Tao Xie:
Beyond Pass or Fail: A Multi-dimensional Benchmark for Mobile UI Navigation. - Yiming Zhang, Zheng Chang, Wentao Cai, MengXing Ren, Kang Yuan, Yining Sun, Zenghui Ding:
IIMedGPT: Promoting Large Language Model Capabilities of Medical Tasks by Efficient Human Preference Alignment. - Bodong Shang, Xiangyu Li, Zheng Wang, Junchao Ma:
Spectrum Sharing in 6G Space-Ground Integrated Networks: A Ground Protection Zone-Based Design. - Juan Camilo Albarracín Sánchez, Luca Comanducci, Mirco Pezzoli, Fabio Antonacci:
Towards HRTF Personalization using Denoising Diffusion Models. - Kaishva Shah, Karthik S. Gurumoorthy, Ajit Rajwade:
Two-Dimensional Unknown View Tomography from Unknown Angle Distributions. - Aharon Levin, Elon Rimon, Amir Shapiro:
Steering Flexible Linear Objects in Planar Environments by Two Robot Hands Using Euler's Elastica Solutions. - Auri M. R. Vincenzi, Pedro Henrique Kuroishi, João C. M. Bispo, Ana R. C. da Veiga, David R. C. da Mata, Francisco B. Azevedo, Ana C. R. Paiva:
METFORD - Mutation tEsTing Framework fOR anDroid. - Shayan Mohajer Hamidi, En-Hui Yang:
Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems. - Xu Ma, Mengsheng Chen, Junhui Zhang, Lijuan Song, Fang Du, Zhenhua Yu:
PARF-Net: integrating pixel-wise adaptive receptive fields into hybrid Transformer-CNN network for medical image segmentation. - Hui Sun, Shiyin Lu, Huanyu Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ming Li:
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs. - Mohit Gurumukhani, Ramamohan Paturi, Michael E. Saks, Navid Talebanfard:
Local Enumeration: The Not-All-Equal Case. - Chuxiong Sun, Peng He, Rui Wang, Changwen Zheng:
Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective. - Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat:
Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis. - Guray Ozgur, Eduarda Caldeira, Tahar Chettaoui, Fadi Boutros, Raghavendra Ramachandra, Naser Damer:
FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection. - Chuanghong Weng, Ehsan Nekouei:
A Volumetric Approach to Privacy of Dynamical Systems. - Zhenning Zhang, Liang Xu, Yilin Mo, Xiaofan Wang:
Finite-Sample Learning Control for LQR Over Unknown Lossy Channels. - Hao Yu, Tianyu Chen, Jiaming Huang, Zongyang Li, Dezhi Ran, Xinyu Wang, Ying Li, Assaf Marron, David Harel, Yuan Xie, Tao Xie:
DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model. - Sahar Salimpour, Jorge Peña Queralta, Diego Paez-Granados, Jukka Heikkonen, Tomi Westerlund:
Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots. - Shuangshuang He, Hongli Liang, Yuanting Zhang, Xingyuan Yuan:
Skillful High-Resolution Ensemble Precipitation Forecasting with an Integrated Deep Learning Framework. - Zhiyuan Wang, Shengcai Liu, Peng Yang, Ke Tang:
Domain-Agnostic Co-Evolution of Generalizable Parallel Algorithm Portfolios. - Daisuke Komura, Maki Takao, Mieko Ochi, Takumi Onoyama, Hiroto Katoh, Hiroyuki Abe, Hiroyuki Sano, Teppei Konishi, Toshio Kumasaka, Tomoyuki Yokose, Yohei Miyagi, Tetsuo Ushiku, Shumpei Ishikawa:
Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis. - Thang-Anh-Quan Nguyen, Nathan Piasco, Luis Roldão, Moussâb Bennehar, Dzmitry Tsishkou, Laurent Caraffa, Jean-Philippe Tarel, Roland Brémond:
Pointmap-Conditioned Diffusion for Consistent Novel View Synthesis. - Jonathan Courtois, Benoît Miramond, Alain Pegatoquet:
Spiking monocular event based 6D pose estimation for space application. - V Arvind Rameshwar, Nir Weinberger:
On Achievable Rates Over Noisy Nanopore Channels. - Mahmoud Abdulsalam, Usman A. Zahidi, Bradley Hurst, Simon Pearson, Grzegorz Cielniak, James Brown:
Unsupervised Tomato Split Anomaly Detection using Hyperspectral Imaging and Variational Autoencoders. - Susu Sun, Leslie Tessier, Frédérique Meeuwsen, Clément Grisi, Dominique van Midden, Geert Litjens, Christian F. Baumgartner:
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology. - Dravyansh Sharma, Arun Sai Suggala:
Offline-to-online hyperparameter transfer for stochastic bandits. - Jianhua Pei, Ping Wang, Jingyu Wang, Dongyuan Shi:
Deep Generative Model-Aided Power System Dynamic State Estimation and Reconstruction with Unknown Control Inputs or Data Distributions. - Charles O'Neill:
Self-Attention as a Parametric Endofunctor: A Categorical Framework for Transformer Architectures. - Ewa J. Infeld, David Anthony Stainton, Leif Ryge, Threebit Hacker:
Echomix: a Strong Anonymity System with Messaging. - Jiexi Zhong, Zhiheng Li, Yubo Cui, Zheng Fang:
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation. - Davide Palitta, Martina Iannacito, Valeria Simoncini:
A subspace-conjugate gradient method for linear matrix equations. - Thomas Leyssens, Michel Henry, Jonathan Lambrechts, Vincent Legat, Jean-François Remacle:
A Coupled PFEM-DEM Model for Fluid-Granular Flows with Free-Surface Dynamics Applied to Landslides. - Eugen Bronasco, Benedict J. Leimkuhler, Dominic Phillips, Gilles Vilmart:
Efficient Langevin sampling with position-dependent diffusion. - Shi Bin Hoo, Samuel Müller, David Salinas, Frank Hutter:
The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features. - Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Min Wu, Fei He:
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification. - Geng Sun, Minghua Yuan, Zemin Sun, Jiacheng Wang, Hongyang Du, Dusit Niyato, Zhu Han, Dong In Kim:
Online Collaborative Resource Allocation and Task Offloading for Multi-access Edge Computing. - Yiquan Zhou, Wenyu Wang, Hongwu Ding, Jiacheng Xu, Jihua Zhu, Xin Gao, Shihao Li:
SYKI-SVC: Advancing Singing Voice Conversion with Post-Processing Innovations and an Open-Source Professional Testset. - Wenyi Hong, Yean Cheng, Zhuoyi Yang, Weihan Wang, Lefan Wang, Xiaotao Gu, Shiyu Huang, Yuxiao Dong, Jie Tang:
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models. - Jiawei Liu, Yuanzhi Zhu, Feiyu Gao, Zhibo Yang, Peng Wang, Junyang Lin, Xinggang Wang, Wenyu Liu:
SceneVTG++: Controllable Multilingual Visual Text Generation in the Wild. - Wanpeng Hu, Haodi Liu, Lin Chen, Feng Zhou, Changming Xiao, Qi Yang, Changshui Zhang:
Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild. - Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch:
Human Gaze Boosts Object-Centered Representation Learning. - Zhuo Chen, Yuyang Gong, Miaokun Chen, Haotan Liu, Qikai Cheng, Fan Zhang, Wei Lu, Xiaozhong Liu, Jiawei Liu:
FlipedRAG: Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models. - Ziyun Zou, Yinghui Jiang, Lian Shen, Juan Liu, Xiangrong Liu:
LOHA: Direct Graph Spectral Contrastive Learning Between Low-pass and High-pass Views. - Yining Tang, Runchao Han, Jianyu Niu, Chen Feng, Yinqian Zhang:
Leader Rotation Is Not Enough: Scrutinizing Leadership Democracy of Chained BFT Consensus. - Huiwen Liu, Feida Zhu, Ling Cheng:
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence. - Jinglei Zhang, Jiankang Deng, Chao Ma, Rolandos Alexandros Potamias:
HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos. - Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, Witold Pedrycz:
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls. - Rui Xie, Yinhong Liu, Penghao Zhou, Chen Zhao, Jun Zhou, Kai Zhang, Zhenyu Zhang, Jian Yang, Zhenheng Yang, Ying Tai:
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution. - Chuanbo Hua, Federico Berto, Jiwoo Son, Seunghyun Kang, Changhyun Kwon, Jinkyoo Park:
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems. - Zhi Qu, Yiran Wang, Jiannan Mao, Chenchen Ding, Hideki Tanaka, Masao Utiyama, Taro Watanabe:
Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation. - Atmane Ayoub Mansour Bahar, Kamel Soaïd Ferrahi, Mohamed-Lamine Messai, Hamida Seba, Karima Amrouche:
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks. - Ziyan Qin, Jigen Peng, Shigang Yue, Qinbing Fu:
A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case. - Jana Brunátová, Jørgen S. Dokken, Kristian Valen-Sendstad, Jaroslav Hron:
On the numerical evaluation of wall shear stress using the finite element method. - Haozheng Xu, Alistair Weld, Chi Xu, Alfie Roddan, João Cartucho, Mert Asim Karaoglu, Alexander Ladikos, Yangke Li, Yiping Li, Daiyun Shen, Shoujie Yang, Geonhee Lee, Seyeon Park, Jongho Shin, Young-Gon Kim, Lucy Fothergill, Dominic Jones, Pietro Valdastri, Duygu Sarikaya, Stamatia Giannarou:
SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation. - Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang:
CALM: Curiosity-Driven Auditing for Large Language Models. - Dongge Wang, Xiang Yan, Zehao Dou, Wenhan Huang, Yaodong Yang, Xiaotie Deng:
Approximating N-Player Nash Equilibrium through Gradient Descent. - Junmyeong Lee, Eui Jun Hwang, Sukmin Cho, Jong C. Park:
PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling. - Luozhou Wang, Yijun Li, Zhifei Chen, Jui-Hsien Wang, Zhifei Zhang, He Zhang, Zhe Lin, Yingcong Chen:
TransPixeler: Advancing Text-to-Video Generation with Transparency. - Harshit Dhankhar, Baban Gain, Asif Ekbal, Yogesh Mani Tripathi:
Quality Estimation based Feedback Training for Improving Pronoun Translation. - Pegah Khayatan, Mustafa Shukor, Jayneel Parekh, Matthieu Cord:
Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering alignment. - Anup Kushwaha, Indibar Debnath, Om Prakash:
Classification of LCD and self-dual codes over a finite non-unital local ring. - Anne Gagneux, Mathurin Massias, Emmanuel Soubies, Rémi Gribonval:
Convexity in ReLU Neural Networks: beyond ICNNs? - Andreas Nikolaos Athanasopoulos, Anne-Marie George, Christos Dimitrakakis:
Probably Correct Optimal Stable Matching for Two-Sided Markets Under Uncertainty. - Mazen Elsaadany, Muhammad Hamza Ali, Amritanshu Pandey, Mads R. Almassalkhi:
AC-aware Optimization Framework for Under-Frequency Load Shedding. - Sheldon Z. Soudin:
Putnam's Critical and Explanatory Tendencies Interpreted from a Machine Learning Perspective. - Changyou Geng, Dezhi Ren, Xinyi Zheng, Weiji Han:
Enabling Efficient Optimal Control of Reconfigurable Battery Systems by Unifying System Modeling and Narrowing Search Space. - Zhen Li, Yupeng Su, Runming Yang, Zhongwei Xie, Ngai Wong, Hongxia Yang:
Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning. - Dichucheng Li, Yongyi Zang, Qiuqiang Kong:
Piano Transcription by Hierarchical Language Modeling with Pretrained Roll-based Encoders. - Duygu Sezen Islakoglu, Jan-Christoph Kalo:
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events. - Torbjörn Wigren, Ruoqi Zhang, Per Mattsson:
Convergence in On-line Learning of Static and Dynamic Systems. - Irene L. Y. Beck, Belle C. Hopmans, Bram Haanen, Levi Kieft, Heike Vallery, Laura Marchal-Crespo, Katherine L. Poggensee:
A Passive Mechanical Add-on for Treadmill Exercise (P-MATE) in Stroke Rehabilitation. - Hongbo Li, Lingjie Duan:
To Analyze and Regulate Human-in-the-loop Learning for Congestion Games. - Tianhua Chen:
Survival Analysis Revisited: Understanding and Unifying Poisson, Exponential, and Cox Models in Fall Risk Analysis. - Guy Yariv, Yuval Kirstain, Amit Zohar, Shelly Sheynin, Yaniv Taigman, Yossi Adi, Sagie Benaim, Adam Polyak:
Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation. - Aseem Srivastava, Zuhair Hasan Shaik, Tanmoy Chakraborty, Md. Shad Akhtar:
Trust Modeling in Counseling Conversations: A Benchmark Study. - Daniel Naro, Jaime Delgado, Silvia Llorente, Amanda Palomo:
Design and implementation of tools to build an ontology of Security Requirements for Internet of Medical Things. - Junpeng Wang, Dennis R. Bukenberger, Simon Niedermayr, Christoph Neuhauser, Jun Wu, Rüdiger Westermann:
SGLDBench: A Benchmark Suite for Stress-Guided Lightweight 3D Designs. - Jan Zimmermann, Ignacio Llatser, Michael Scherl, Florian Wildschütte, Frank Hofmann:
Benefit evaluation of V2X-enhanced braking in view obstructed crossing use cases. - Yong Zheng:
OpenTable data with multi-criteria ratings. - Yuhao Zhou:
Retrieval-Augmented TLAPS Proof Generation with Large Language Models. - Haojin Li, Heng Li, Jianyu Chen, Rihan Zhong, Ke Niu, Huazhu Fu, Jiang Liu:
AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image Segmentation. - Manzoor Ahmed, Fang Xu, Yuanlin Lyu, Aized Amin Soofi, Yongxiao Li, Feroz Khan, Wali Ullah Khan, Muhammad Sheraz, Teong Chee Chuah, Min Deng:
RIS-Driven Resource Allocation Strategies for Diverse Network Environments: A Comprehensive Review. - Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze:
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks. - Yibin Wu, Jian Kuang, Xiaoji Niu, Cyrill Stachniss, Lasse Klingbeil, Heiner Kuhlmann:
Wheel-GINS: A GNSS/INS Integrated Navigation System with a Wheel-mounted IMU. - Alexandre Chemin, Jonathan Lambrechts, Nicolas Moës, Jean-François Remacle:
Solving the Porous Medium Equation with the eXtreme Mesh deformation approach (X-Mesh). - Chongxian Chen, Fan Mo, Xin Fan, Hayato Yamana:
Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment. - Min Zhang, Weizhang Huang:
A unifying moving mesh method for curves, surfaces, and domains based on mesh equidistribution and alignment. - Aseem Srivastava, Gauri Naik, Alison Cerezo, Tanmoy Chakraborty, Md. Shad Akhtar:
Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling. - Yuval Rymon:
Societal Adaptation to AI Human-Labor Automation. - Zhaokun Shen, Chengtao Zhou, Dianhao Li, Yun Meng, Lvye Zhou, Ligui Yang, Chengmao He, Shaorui Wang, Shuangshuang Jin:
Finite Element Analysis of Shear Lag Effect in Long-Span Single-Box Continuous Rigid Bridges. - Rasa Khosrowshahli, Shahryar Rahnamayan, Beatrice M. Ombuki-Berman:
A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks. - Celina Kacperski, Roberto Ulloa, Peter Selb, Andreas Spitz, Denis Bonnay, Juhi Kulshrestha:
Self-directed online information search can affect policy attitudes: a randomized encouragement design with digital behavioral data. - Jukka Ruohonen, Paul Timmers:
Early Perspectives on the Digital Europe Programme. - Ayush Patnaik, Nicolas Michel, Xinfan Lin:
Enhancing Multirotor Drone Efficiency: Exploring Minimum Energy Consumption Rate of Forward Flight under Varying Payload. - Valeriya Strizhkova, Hadi Kachmar, Hava Chaptoukaev, Raphael Kalandadze, Natia Kukhilava, Tatia Tsmindashvili, Nibras Abo Alzahab, Maria A. Zuluaga, Michal Balazia, Antitza Dantcheva, François Brémond, Laura M. Ferrari:
MVP: Multimodal Emotion Recognition based on Video and Physiological Signals. - Félicien Hêche, Philipp Schiller, Oussama Barakat, Thibaut Desmettre, Stephan Robert-Nicoud:
Assessing the impact of external factors on the occurrence of emergencies. - Dylan Bouchard, Mohit Singh Chauhan, David Skarbrevik, Viren Bajaj, Zeya Ahmad:
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases. - Joshua Southern, Yam Eitan, Guy Bar-Shalom, Michael M. Bronstein, Haggai Maron, Fabrizio Frasca:
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality. - Aghiles Ait Messaoud, Sonia Ben Mokhtar, Anthony Simonet-Boulogne:
TEE-based Key-Value Stores: a Survey. - Chao Feng, Yuanzhe Gao, Alberto Huertas Celdrán, Gérôme Bovet, Burkhard Stiller:
From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning. - Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, Lili Yu, Chunting Zhou:
CAT: Content-Adaptive Image Tokenization. - Pedro J. Martínez-Ferrer, Albert-Jan Yzelman, Vicenç Beltran:
Distributed and heterogeneous tensor-vector contraction algorithms for high performance computing. - Yuxiang Bao, Guoliang Kang, Linlin Yang, Xiaoyue Duan, Bo Zhao, Baochang Zhang:
Normalizing Batch Normalization for Long-Tailed Recognition. - Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng:
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models. - John Stephan, Matej Pavlovic, Antonio Locascio, Benjamin Livshits:
CrowdProve: Community Proving for ZK Rollups. - Panagiotis Misiakos, Markus Püschel:
Learning DAGs and Root Causes from Time-Series Data. - Zhihao Jia, Qi Pang, Trung Tran, David P. Woodruff, Zhihao Zhang, Wenting Zheng:
Communication Bounds for the Distributed Experts Problem. - Yu Chen, Yuda Li, Shaoyuan Li, Xiang Yin:
Distributionally Robust Control Synthesis for Stochastic Systems with Safety and Reach-Avoid Specifications. - Yerong Li, Yiren Liu, Yun Huang:
VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity. - Hao Chung, Ke Wu, Elaine Shi:
Foundations of Platform-Assisted Auctions. - Dennis Gross, Helge Spieker:
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies. - Valery Istomin, Oleg Pereziabov, Ilya Afanasyev:
Geometry Restoration and Dewarping of Camera-Captured Document Images. - Alhassan Mumuni, Fuseini Mumuni:
Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches. - Jing Zhang, Hui Gao, Peng Zhang, Shuzhen Sun, Chang Yang, Yuexian Hou:
The Scaling Law for LoRA Base on Mutual Information Upper Bound. - Risha Goel, Zain Shabeeb, Isabel Panicker, Vida Jamali:
Segment Anything Model for Zero-shot Single Particle Tracking in Liquid Phase Transmission Electron Microscopy. - Nick Fischer, Evangelos Kipouridis, Jonas Klausen, Mikkel Thorup:
A Faster Algorithm for Constrained Correlation Clustering. - David Frank, Cederik Höfs, Tobias Lasser:
Statistical Reconstruction For Anisotropic X-ray Dark-Field Tomography. - Muyun Li, Aaron Fainman, Stefan Vlaski:
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning. - Ali Al-Lawati, Jason Lucas, Prasenjit Mitra:
Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text. - Jack Boylan, Chris Hokamp, Demian Gholipour Ghalandari:
GLiREL - Generalist Model for Zero-Shot Relation Extraction. - Alexandru Buburuzan, Anuj Sharma, John Redford, Puneet K. Dokania, Romain Mueller:
MObI: Multimodal Object Inpainting Using Diffusion Models. - Arturo Zapata-Cortés, Julio Aracena:
Hamiltonian dynamics of Boolean networks. - Andrii Krutsylo:
Scalable Forward-Forward Algorithm. - Tian-Hao Zhang, Jiawei Zhang, Jun Wang, Xinyuan Qian, Xu-Cheng Yin:
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles. - Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu:
Boosting Explainability through Selective Rationalization in Pre-trained Language Models. - Ariel Shaulov, Tal Shaharabany, Eitan Shaar, Gal Chechik, Lior Wolf:
Classifier-Guided Captioning Across Modalities. - Dennis Gross:
Turn-based Multi-Agent Reinforcement Learning Model Checking. - Andrew Chang, Viswadruth Akkaraju, Ray McFadden Cogliano, David Poeppel, Dustin Freeman:
Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment. - Aaron Gluck, Katharina von der Wense, Maria Pacheco:
CLIX: Cross-Lingual Explanations of Idiomatic Expressions. - Alon Jacovi, Andrew Wang, Chris Alberti, Connie Tao, Jon Lipovetz, Kate Olszewska, Lukas Haas, Michelle Liu, Nate Keating, Adam Bloniarz, Carl Saroufim, Corey Fry, Dror Marcus, Doron Kukliansky, Gaurav Singh Tomar, James Swirhun, Jinwei Xing, Lily Wang, Madhu Gurumurthy, Michael Aaron, Moran Ambar, Rachana Fellinger, Rui Wang, Zizhao Zhang, Sasha Goldshtein, Dipanjan Das:
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input. - Ayat A. Najjar, Huthaifa I. Ashqar, Omar A. Darwish, Eman Hammad:
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity. - David Pérez-Castro, Juan Fernández-Herrerín, Ana Fernández Vilas, Manuel Fernández-Veiga, Rebeca P. Díaz Redondo:
Simulation of entanglement based quantum networks for performance characterization. - Ayat Najjar, Huthaifa I. Ashqar, Omar A. Darwish, Eman Hammad:
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text. - Rui Qian, Shuangrui Ding, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang:
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction. - Tingyang Zhang, Chen Wang, Zhiyang Dou, Qingzhe Gao, Jiahui Lei, Baoquan Chen, Lingjie Liu:
ProTracker: Probabilistic Integration for Robust and Accurate Point Tracking. - Haosheng Zhang, Hao Huang:
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network. - Sudeep Salgia, Nikola Pavlovic, Yuejie Chi, Qing Zhao:
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization. - Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas:
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation. - Yuhui Zhang, Yuchang Su, Yiming Liu, Xiaohan Wang, James Burgess, Elaine Sui, Chenyu Wang, Josiah Aklilu, Alejandro Lozano, Anjiang Wei, Ludwig Schmidt, Serena Yeung-Levy:
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. - Beichen Zhang, Yuhong Liu, Xiaoyi Dong, Yuhang Zang, Pan Zhang, Haodong Duan, Yuhang Cao, Dahua Lin, Jiaqi Wang:
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning. - Mustafa Doger, Sennur Ulukus:
When Should Selfish Miners Double-Spend? - Guoxuan Chen, Lianghao Xia, Chao Huang:
LightGNN: Simple Graph Neural Network for Recommendation. - Jathushan Rajasegaran, Xinlei Chen, Rulilong Li, Christoph Feichtenhofer, Jitendra Malik, Shiry Ginosar:
Gaussian Masked Autoencoders. - Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Meishan Zhang, Mong-Li Lee, Wynne Hsu:
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition. - Abel C. H. Chen:
Performance Comparison of Security Credential Management Systems for V2X: North American Standard IEEE 1609.2.1 and European Standard ETSI TS 102 941. - Qian Xiong, Weiliang Ma, Xuanhua Shi, Yongluan Zhou, Hai Jin, Kaiyi Huang, Haozhou Wang, Zhengru Wang:
gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography. - Abel C. H. Chen:
Homomorphic Encryption Based on Lattice Post-Quantum Cryptography. - Jaouhar Fattahi:
Machine Learning and Deep Learning Techniques used in Cybersecurity and Digital Forensics: a Review. - Akshansh Mishra:
Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture. - Dennis Klinkhammer:
AI-ANNE: (A) (N)eural (N)et for (E)xploration: Transferring Deep Learning Models onto Microcontrollers and Embedded Systems. - Abdullah M. Almasoud, Muhammad Rafay Naeem, Muhammad Imran Taj, Ibrahim Ghaznavi, Junaid Qadir:
Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens. - Ngan Duong Thi Thuy, Duy-Nam Bui, Manh Duong Phung:
Navigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic Constraints. - Jian Hu:
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models. - Qi Wang, Marco Federici, Herke van Hoof:
Bridge the Inference Gaps of Neural Processes via Expectation Maximization. - Xubin Wang, Weijia Jia:
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies. - Stefan Pasch:
LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena. - Xurui Li, Xin Shan, Wenhao Yin, Haijiao Wang:
Heterogeneous Graph Pre-training Based Model for Secure and Efficient Prediction of Default Risk Propagation among Bond Issuers. - Amitava Das, Suranjana Trivedy, Danush Khanna, Rajarshi Roy, Gurpreet Singh, Basab Ghosh, Yaswanth Narsupalli, Vinija Jain, Vasu Sharma, Aishwarya Naresh Reganti, Aman Chadha:
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization. - Peihai Jiang, Xixiang Lyu, Yige Li, Jing Ma:
Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models. - Md Shoaibur Rahman:
Strategic Fusion Optimizes Transformer Compression. - Yoel Zeldes, Amir Zait, Ilia Labzovsky, Danny Karmon, Efrat Farkash:
ComMer: a Framework for Compressing and Merging User Data for Personalization. - Yueze Liu, Yichi Zhang, Shaan Om Patel, Zhaoyang Zhu, Shilong Guo:
HonkaiChat: Companions from Anime that feel alive! - Haozhen Zhang, Haodong Yue, Xi Xiao, Le Yu, Qing Li, Zhen Ling, Ye Zhang:
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model. - Paul W. Homer:
Inverse Intersections for Boolean Satisfiability Problems. - Tianyang Wang, Yunze Wang, Jun Zhou, Benji Peng, Xinyuan Song, Charles Zhang, Xintian Sun, Qian Niu, Junyu Liu, Silin Chen, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Ming Liu, Yichao Zhang, Cheng Fei, Caitlyn Heqi Yin, Lawrence KQ Yan:
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence. - Liyang Qin, Xiaoli Wang, Chunhua Yang, Huaiwen Zou, Haochuan Zhang:
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting. - Sang-Jin Oh, Ju Young Kang, Kyungryeong Pak, Heejung Kim, Sung-Chul Shin:
Inverse Design of Optimal Stern Shape with Convolutional Neural Network-based Pressure Distribution. - Yuhang Wang, Abdulaziz Alhuraish, Shengming Yuan, Shuyi Wang, Hao Zhou:
OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles. - Zhenyu Xu, Victor S. Sheng:
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models. - Yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu:
Adaptive Pruning of Pretrained Transformer via Differential Inclusions. - Batool Lakzaei, Mostafa Haghir Chehreghani, Alireza Bagheri:
A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection. - Pengwei Tang, Xiaolin Hu, Yong Liu:
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning. - Naibo Wang, Yuchen Deng, Shichen Fan, Jianwei Yin, See-Kiong Ng:
Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model. - Shuo Tong, Han Liu, Runyuan Guo, Wenqing Wang, Xueqiong Tian, Lingyun Wei, Lin Zhang, Huayong Wu, Ding Liu, Youmin Zhang:
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval. - Abraham Itzhak Weinberg:
Dynamic Data Defense: Unveiling the Database in motion Chaos Encryption (DaChE) Algorithm - A Breakthrough in Chaos Theory for Enhanced Database Security. - Ruilin Chen, Xiaowei Jin, Nikolaus A. Adams, Hui Li:
Method of data forward generation with partial differential equations for machine learning modeling in fluid mechanics. - Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi:
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. - Evgenii Kruzhkov, Sven Behnke:
LiLMaps: Learnable Implicit Language Maps. - Md. Jalal Uddin Chowdhury, Zumana Islam Mou, Rezwana Afrin, Shafkat Kibria:
Plant Leaf Disease Detection and Classification Using Deep Learning: A Review and A Proposed System on Bangladesh's Perspective. - Manh V. Nguyen, Liang Zhao, Bobin Deng, Shaoen Wu:
The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks. - Sabine Wehnert, Muhammet Ertas, Ernesto William De Luca:
Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training. - Aleksandar Haber, Ferenc Molnár, Adilson E. Motter:
Global network control from local information. - Tanay Agrawal, Mohammed Guermal, Michal Balazia, François Brémond:
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets. - Songlin Hou, Fangzhou Lin, Yunmei Huang, Zhe Peng, Bin Xiao:
Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation. - Keyvan RahimiZadeh, Ahmad Taheri, Jan Baumbach, Esmael Makarian, Abbas Dehghani, Bahman Ravaei, Bahman Javadi, Amin Beheshti:
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification. - Adam Kiersztyn, Dariusz Czerwinski, Aneta Oniszczuk-Jastrzabek, Ernest Czermanski, Agnieszka Rzepka:
Data integrity vs. inference accuracy in large AIS datasets. - Massimo A. Achterberg, Robert E. Kooij:
On the non-submodularity of the problem of adding links to minimize the effective graph resistance. - Yifeng Zhang, Bryan Baker, Shi Chen, Chao Zhang, Yu Huang, Qi Zhao, Sthitie Bom:
Detecting Defective Wafers Via Modular Networks. - Olga Kolesnikova, Moein Shahiki Tash, Zahra Ahani, Ameeta Agrawal, Raúl Monroy, Grigori Sidorov:
Advanced Machine Learning Techniques for Social Support Detection on Social Media. - Noyon Kumar Sarkar, Moumita Roy, Md. Maniruzzaman:
Brain Controlled Wheelchair with Smart Feature. - Mariia Shpir, Nadiya Shvai, Amir Nakib:
License Plate Images Generation with Diffusion Models. - Dora Medgyesy, Joella Galas, Julian van Pol, Rustam Eynaliyev, Thijs Vollebregt:
Existential Crisis: A Social Robot's Reason for Being. - Venceslav Chumchal, Pavel Marton, Martin Plesinger, Martina Simunková:
Tensor-structured PCG for finite difference solver of domain patterns in ferroelectric material. - Laouen Belloli, Pedro A. M. Mediano, Rodrigo Cofré, Diego Fernández Slezak, Rubén Herzog:
THOI: An efficient and accessible library for computing higher-order interactions enhanced by batch-processing. - Aldenio Burgos, Eduardo Alchieri:
Privacy-Preserving Smart Contracts for Permissioned Blockchains: A zk-SNARK-Based Recipe Part-1. - Shayan Mohajer Hamidi, Ali Bereyhi, Saba Asaad, H. Vincent Poor:
Over-the-Air Fair Federated Learning via Multi-Objective Optimization. - Liam A. Kruse, Alexandros E. Tzikas, Harrison Delecki, Mansur M. Arief, Mykel J. Kochenderfer:
Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows. - Xuyang Wang, Ziang Cheng, Zhenyu Li, Jiayu Yang, Haorui Ji, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Hongdong Li:
DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Generative Learning on 3D Meshes. - Neil Ranly, Torrey Wagner:
Rapid Experimentation with Python Considering Optional and Hierarchical Inputs. - Soonbin Lee, Fangwen Shu, Yago Sanchez, Thomas Schierl, Cornelius Hellge:
Compression of 3D Gaussian Splatting with Optimized Feature Planes and Standard Video Codecs. - Simone Giovannini, Fabio Coppini, Andrea Gemelli, Simone Marinai:
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations. - Zahin Sufiyan, Shadan Golestan, Shotaro Miwa, Yoshihiro Mitsuka, Osmar R. Zaïane:
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation. - Hanieh Mousavi, Jeff D. Eldredge:
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements. - Wenxuan Li, Pedro R. A. S. Bassi, Tianyu Lin, Yu-Cheng Chou, Xinze Zhou, Yucheng Tang, Fabian Isensee, Kang Wang, Qi Chen, Xiaowei Xu, Xiaoxi Chen, Lizhou Wu, Qilong Wu, Yannick Kirchhoff, Maximilian R. Rokuss, Saikat Roy, Yuxuan Zhao, Dexin Yu, Kai Ding, Constantin Ulrich, Klaus H. Maier-Hein, Yang Yang, Alan L. Yuille, Zongwei Zhou:
ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models. - Tassilo Klein, Clemens Biehl, Margarida Costa, Andre Sres, Jonas Kolk, Johannes Hoffart:
SALT: Sales Autocompletion Linked Business Tables Dataset. - Zhitao Yu, Joshua Tran, Claire Li, Aaron Weber, Yash P. Talwekar, Sawyer B. Fuller:
TinySense: A Lighter Weight and More Power-efficient Avionics System for Flying Insect-scale Robots. - Yaxin Hu, Anjun Zhu, Catalina L. Toma, Bilge Mutlu:
Designing Telepresence Robots to Support Place Attachment. - Nikita Belenkov, Valerian Callens, Alexandr Murashkin, Kacper Bak, Martin Derka, Jan Gorzny, Sung-Shine Lee:
SoK: A Review of Cross-Chain Bridge Hacks in 2023. - Amy Iris Parker:
Boosting Cross-Architectural Emulation Performance by Foregoing the Intermediate Representation Model. - Donatella Genovese, Alessandro Sgroi, Alessio Devoto, Samuel Valentine, Lennox Wood, Cristiano Sebastiani, Stefano Giagu, Monica D'Onofrio, Simone Scardapane:
Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection. - Elyas Masrour, Bradley Emi, Max Spero:
DAMAGE: Detecting Adversarially Modified AI Generated Text. - Dhruva Juloori, Zhongpeng Lin, Matthew Williams, Eddy Shin, Sonal Mahajan:
CI at Scale: Lean, Green, and Fast. - Sarah E. Finch, Ellie S. Paek, Sejung Kwon, Ikseon Choi, Jessica Wells, Rasheeta Chandler, Jinho D. Choi:
Finding A Voice: Evaluating African American Dialect Generation for Chatbot Technology. - Samuel Sisk, Xiaosong Du:
Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design. - Mohamad Fakih, Rahul Dharmaji, Halima Bouzidi, Gustavo Quiros Araya, Oluwatosin Ogundare, Mohammad Abdullah Al Faruque:
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models. - Jialiang Chen, Kaifa Zhao, Jie Liu, Chao Peng, Jierui Liu, Hang Zhu, Pengfei Gao, Ping Yang, Shuiguang Deng:
CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering. - Bibo Wu, Fang Fang, Xianbin Wang:
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems. - Md Munibun Billah, Tyler Sweat, Willie K. Harrison:
Feasibility of short blocklength Reed-Muller codes for physical layer security in real environment. - Ying-Ting Yeh, Janghoon Ock, Amir Barati Farimani:
Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap Prediction. - Rong Lei:
Convergence of a particle method for gradient flows on the Lp-Wasserstein space. - Zi Huang, Simon Denman, Akila Pemasiri, Clinton Fookes, Terrence Martin:
Radar Signal Recognition through Self-Supervised Learning and Domain Adaptation. - Yu-Cheng Liu, An-Zi Yen:
ISSR: Iterative Selection with Self-Review for Vocabulary Test Distractor Generation. - Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell:
LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging. - Atonu Ghosh, Devadeep Misra, Hirdesh Mewada:
Extending Internet Access Over LoRa for Internet of Things and Critical Applications. - Pranav Pandey, Ramviyas Parasuraman, Prashant Doshi:
FRESHR-GSI: A Generalized Safety Model and Evaluation Framework for Mobile Robots in Multi-Human Environments. - Yannis Katsis, Sara Rosenthal, Kshitij Fadnis, Chulaka Gunasekara, Young-Suk Lee, Lucian Popa, Vraj Shah, Huaiyu Zhu, Danish Contractor, Marina Danilevsky:
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems. - Chuang Niu, Wenjun Xia, Hongming Shan, Ge Wang:
Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning. - Jun Chen, Jingyang Xiang, Tianxin Huang, Xiangrui Zhao, Yong Liu:
Hyperbolic Binary Neural Network. - Benjamin Z. Reichman, Adar Avsian, Larry Heck:
Reading with Intent - Neutralizing Intent. - Karthik Mohan:
A study on performance limitations in Federated Learning. - Sourabrata Mukherjee, Soumya Teotia, Sougata Saha, Monojit Choudhury:
Women, Infamous, and Exotic Beings: What Honorific Usages in Wikipedia Reveal about the Socio-Cultural Norms. - Zishuo Wan, Yu Gao, Wanyuan Pang, Da-Wei Ding:
VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with Language. - Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia:
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. - Renjie Ding, Dongling Wang:
Adaptive Residual-Driven Newton Solver for Nonlinear Systems of Equations. - William Kuszmaul:
A Simple and Combinatorial Approach to Proving Chernoff Bounds and Their Generalizations. - Nandan Kumar Jha, Brandon Reagen:
Entropy-Guided Attention for Private LLMs. - Shang Chai, Zihang Lin, Min Zhou, Xubin Li, Liansheng Zhuang, Houqiang Li:
SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation. - Yueheng Zhang, Xiaoyuan Liu, Yiyou Sun, Atheer Alharbi, Hend Alzahrani, Basel Alomair, Dawn Song:
Can LLMs Design Good Questions Based on Context? - Weijiang Xiong, Robert Fonod, Alexandre Alahi, Nikolas Geroliminis:
Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data. - Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao, Charles Ling, Boyu Wang:
Textualize Visual Prompt for Image Editing via Diffusion Bridge. - Jinming Gao, Yijing Wang, Wentao Zhang, Rui Zhao, Yang Shi, Zhiqiang Zuo:
A Unified Attack Detection Strategy for Multi-Agent Systems over Transient and Steady Stages. - Pritisha Sarkar, Duranta Durbaar Vishal Saha, Mousumi Saha:
Can Deep Learning Trigger Alerts from Mobile-Captured Images? - Youqing Wang, Ying Li, Thomas Parisini, Dong Zhao:
Resilient Distributed Control for Uncertain Nonlinear Interconnected Systems under Network Anomaly. - Fatemeh Ghofrani, Pooyan Jamshidi:
An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning. - Shuyang Wang, Somayeh Moazeni, Diego Klabjan:
A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models. - Shuangge Wang, Anjiabei Wang, Sofiya Goncharova, Brian Scassellati, Tesca Fitzgerald:
Effects of Robot Competency and Motion Legibility on Human Correction Feedback. - Achintya kr. Sarkar, Priyanka Dwivedi, Zheng-Hua Tan:
Vocal Tract Length Warped Features for Spoken Keyword Spotting. - Alakh Aggarwal, Ningna Wang, Xiaohu Guo:
TexHOI: Reconstructing Textures of 3D Unknown Objects in Monocular Hand-Object Interaction Scenes. - Takumi Kitsukawa, Kazuma Miura, Shigeki Yumoto, Sarthak Pathak, Alessandro Moro, Kazunori Umeda:
Anomaly Triplet-Net: Progress Recognition Model Using Deep Metric Learning Considering Occlusion for Manual Assembly Work. - Xuewen Luo, Fan Ding, Fengze Yang, Yang Zhou, Junn Yong Loo, Hwa Hui Tew, Chenxi Liu:
SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving. - Tasnim Irtifa Chowdhury, Andrew Vargo, Chris Blakely, Benjamin Tag, Koichi Kise:
A Review of Cognitive Readiness, Wearable Devices, and Prospects. - Weijieying Ren, Tianxiang Zhao, Yuqing Huang, Vasant G. Honavar:
Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions. - Lingzhi Yuan, Xinfeng Li, Chejian Xu, Guanhong Tao, Xiaojun Jia, Yihao Huang, Wei Dong, Yang Liu, XiaoFeng Wang, Bo Li:
PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models. - Chris Samarinas, Alexander Krubner, Alireza Salemi, Youngwoo Kim, Hamed Zamani:
Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation. - Akanksha Singal, Divya Pathak, Kaustabha Ray, Felix George, Mudit Verma, Pratibha Moogi:
Metric Criticality Identification for Cloud Microservices. - Yujie Wang, Xiangru Xu:
Proxy Control Barrier Functions: Integrating Barrier-Based and Lyapunov-Based Safety-Critical Control Design. - Runhua Wang, Jyh-An Lee, Jingwen Liu:
Unwinding NFTs in the Shadow of IP Law. - Zelin Zhou, Simone Conia, Daniel Lee, Min Li, Shenglei Huang, Umar Farooq Minhas, Saloni Potdar, Henry Xiao, Yunyao Li:
KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs. - Tianyang Duan, Zongyuan Zhang, Zheng Lin, Yue Gao, Ling Xiong, Yong Cui, Hongbin Liang, Xianhao Chen, Heming Cui, Dong Huang:
Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective. - Haoran Lai, Zihang Jiang, Qingsong Yao, Rongsheng Wang, Zhiyang He, Xiaodong Tao, Wei Wei, Weifu Lv, S. Kevin Zhou:
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis. - Benedikt Reitemeyer, Hans-Georg Fill:
Applying Large Language Models in Knowledge Graph-based Enterprise Modeling: Challenges and Opportunities. - Tianyu Cui, Jinbin Bai, Guo-Hua Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ye Shi:
Evaluating Image Caption via Cycle-consistent Text-to-Image Generation. - Weizhi Li, Visar Berisha, Gautam Dasarathy:
Advanced Tutorial: Label-Efficient Two-Sample Tests. - Muneera Bano, Hashini Gunatilake, Rashina Hoda:
What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs. - Keren Shi, Xu Liu, Xue Yuan, Haijie Shang, Ruiting Dai, Hanbin Wang, Yunfa Fu, Ning Jiang, Jiayuan He:
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm. - Ammar Ahmed, Margarida Fresco, Fredrik Forsberg, Hallvard Grotli:
From Code to Compliance: Assessing ChatGPT's Utility in Designing an Accessible Webpage - A Case Study. - Zhibai Jia:
Neural Cellular Automata and Deep Equilibrium Models. - Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Lin Yen-Chen, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski:
Cosmos World Foundation Model Platform for Physical AI. - Li Zhang, Cheng-Xiang Wang, Zihao Zhou, Yuxiao Li, Jie Huang, Lijian Xin, Chun Pan, Dabo Zheng, Xiping Wu:
Wireless Channel Measurements and Characterization in Industrial IoT Scenarios. - Zhenghao Feng, Lu Wen, Yuanyuan Xu, Binyu Yan, Xi Wu, Jiliu Zhou, Yan Wang:
BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty. - Liyue Chen, Jiangyi Fang, Tengfei Liu, Fangyuan Gao, Leye Wang:
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models. - Zhihao Yao:
Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering. - Xiaoxiao Li, Zhirui Sun, Mansha Zheng, Hongpeng Wang, Shuai Li, Jiankun Wang:
Collision Risk Quantification and Conflict Resolution in Trajectory Tracking for Acceleration-Actuated Multi-Robot Systems. - Yue Yu, Yifang Wang, Yongjun Zhang, Huamin Qu, Dongyu Liu:
InclusiViz: Visual Analytics of Human Mobility Data for Understanding and Mitigating Urban Segregation. - Xujin Li, Wei Wei, Kun Zhao, Jiayu Mao, Yizhuo Lu, Shuang Qiu, Huiguang He:
Exploring EEG and Eye Movement Fusion for Multi-Class Target RSVP-BCI. - Junhyuk Kwon, Seokho Ahn, Young-Duk Seo:
RecKG: Knowledge Graph for Recommender Systems. - Xiaoyu Ma, Fang Fang, Xianbin Wang:
Dynamic Authentication and Granularized Authorization with a Cross-Domain Zero Trust Architecture for Federated Learning in Large-Scale IoT Networks. - Haotian Li, Lu Ying, Leixian Shen, Yun Wang, Yingcai Wu, Huamin Qu:
Composing Data Stories with Meta Relations. - Yifeng Yang, Hengyu Liu, Chenxin Li, Yining Sun, Wuyang Li, Yifan Liu, Yiyang Lin, Yixuan Yuan, Nanyang Ye:
ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting. - Zhengnan Sun, Zhaotai Shi, Jiayin Chen, Qingtao Liu, Yu Cui, Qi Ye, Jiming Chen:
VTAO-BiManip: Masked Visual-Tactile-Action Pre-training with Object Understanding for Bimanual Dexterous Manipulation. - Yue Yang, Cheng-Xiang Wang, Jie Huang, John S. Thompson, H. Vincent Poor:
A 3D Continuous-Space Electromagnetic Channel Model for 6G Tri-Polarized Multi-user Communications. - Jose Manappattukunnel Lukose, Abayomi O. Agbeyangi:
Is social media hindering or helping Academic Performance? A case study of Walter Sisulu University Buffalo City Campus. - Zhongxuan Zhang, Bi Zeng, Xinyu Ni, Yimin Du:
BTMTrack: Robust RGB-T Tracking via Dual-template Bridging and Temporal-Modal Candidate Elimination. - Audrey Olson, Pratyusha Maiti, Ashok K. Goel:
The Textbook of Tomorrow: Rethinking Course Material Interfacing in the Era of GPT. - Laurin Jonientz, Johannes Merkle, Christian Rathgeb, Benjamin Tams, Georg Merz:
Deep Learning-based Compression Detection for explainable Face Image Quality Assessment. - Gaoussou Youssouf Kebe, Jeffrey M. Girard, Einat Liebenthal, Justin T. Baker, Fernando De la Torre, Louis-Philippe Morency:
LlaMADRS: Prompting Large Language Models for Interview-Based Depression Assessment. - Zhaonan Wu, Yanjie Zhao, Chen Wei, Zirui Wan, Yue Liu, Haoyu Wang:
CommitShield: Tracking Vulnerability Introduction and Fix in Version Control Systems. - Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon:
Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance. - Jiaxuan Li, Qing Xu, Xiangjian He, Ziyu Liu, Daokun Zhang, Ruili Wang, Rong Qu, Guoping Qiu:
CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images. - Junsheng Luan, Guangyuan Li, Lei Zhao, Wei Xing:
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer. - Maomao Li, Yu Li, Yunfei Liu, Dong Xu:
Exploring Optimal Latent Trajetory for Zero-shot Image Editing. - Mercedes Echeverria, Yacelli Bustamante:
Scope and limitations of library metrics for the assessment of ebook usage: COUNTER R5 and link resolver. - Mei Wu, Yiqian Lin, Tianfan Jiang, Wenchao Weng:
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction. - Jing Liu, Duanchu Wang, Haoran Gong, Chongyu Wang, Jihua Zhu, Di Wang:
Advancing the Understanding of Fine-Grained 3D Forest Structures using Digital Cousins and Simulation-to-Reality: Methods and Datasets. - Manuel Merkel, Jens Dörpinghaus:
A case study on the transformative potential of AI in software engineering on LeetCode and ChatGPT. - Haoning Xu, Zhaoqing Li, Zengrui Jin, Huimeng Wang, Youjun Chen, Guinan Li, Mengzhe Geng, Shujie Hu, Jiajun Deng, Xunying Liu:
Effective and Efficient Mixed Precision Quantization of Speech Foundation Models. - Mickaël Martin-Nevot, Sébastien Nedjar, Lotfi Lakhal:
Hierarchical Datacubes. - Sebastian Brandt, Yannic Maus, Ananth Narayanan, Florian Schager, Jara Uitto:
On the Locality of Hall's Theorem. - Michael Ruderman, Francesco De Rito:
Study of Frictional and Impact Transients in Active-Passive Mechanical Pair. - Assaf Shmuel, Oren Glickman, Teddy Lazebnik:
Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models. - Jinze Yu, Yiqun Wang, Zhengda Lu, Jianwei Guo, Yong Li, Hongxing Qin, Xiaopeng Zhang:
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting. - Ameet Gadekar, Tanmay Inamdar:
Dimension-Free Parameterized Approximation Schemes for Hybrid Clustering. - Louis Mahon:
Local Compositional Complexity: How to Detect a Human-readable Messsage. - Alexander Fertig, Lakshman Balasubramanian, Michael Botsch:
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction. - Yi Zhang, Guangyou Zhou, Zhiwen Xie, Jinjin Ma, Jimmy Xiangji Huang:
A Diversity-Enhanced Knowledge Distillation Model for Practical Math Word Problem Solving. - Hendrik Alsmeier, Lukas Theiner, Anton Savchenko, Ali Mesbah, Rolf Findeisen:
Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification. - Mengshi Qi, Hao Ye, Jiaxuan Peng, Huadong Ma:
Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive Regression. - Andrew Li, Rahul Thapa, Rahul Chalamala, Qingyang Wu, Kezhen Chen, James Zou:
SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning. - Zheng Chun:
SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks. - Maksymilian Wojnar, Wojciech Ciezobka, Katarzyna Kosek-Szott, Krzysztof Rusek, Szymon Szott, David Nunez, Boris Bellalta:
IEEE 802.11bn Multi-AP Coordinated Spatial Reuse with Hierarchical Multi-Armed Bandits. - Yuchun Fan, Yongyu Mu, Yilin Wang, Lei Huang, Junhao Ruan, Bei Li, Tong Xiao, Shujian Huang, Xiaocheng Feng, Jingbo Zhu:
SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment. - Amir Abboud, Rajendra Kumar:
On Beating 2n for the Closest Vector Problem. - Haojie Wei, Jun Yuan, Rui Zhang, Quanyu Dai, Yueguo Chen:
MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation. - Yining Tang, Qihang Luo, Runchao Han, Jianyu Niu, Chen Feng, Yinqian Zhang:
Unraveling Responsiveness of Chained BFT Consensus with Network Delay. - Prashanth Pombala, Gerrit Grossmann, Verena Wolf:
Exploring Molecule Generation Using Latent Space Graph Diffusion. - Tjeerd Jan Heeringa, Len Spek, Christoph Brune:
Deep Networks are Reproducing Kernel Chains. - Guozhen Zhang, Yuhan Zhu, Yutao Cui, Xiaotong Zhao, Kai Ma, Limin Wang:
Motion-Aware Generative Frame Interpolation. - Ruochen Zhang, Hyeung-Sik Choi, Dongwook Jung, Phan Huy Nam Anh, Sang-Ki Jeong, Zihao Zhu:
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features. - Mohammadreza Bakhshizadeh Mohajer, Luca Barletta, Daniela Tuninetti, Alessandro Tomasoni, Daniele Lo Iacono, Fabio Osnato:
A Poincaré Lower Bound Approach for Performance Trade-offs in MIMO ISAC Systems with Blockage. - Andrea Calì, Igor Razgon:
On complexity of restricted fragments of Decision DNNF. - Avishai Elmakies, Omri Abend, Yossi Adi:
Unsupervised Speech Segmentation: A General Approach Using Speech Language Models. - Sangwoon Kwak, Joonsoo Kim, Jun Young Jeong, Won-Sik Cheong, Jihyong Oh, Munchurl Kim:
MoDec-GS: Global-to-Local Motion Decomposition and Temporal Interval Adjustment for Compact Dynamic 3D Gaussian Splatting. - André Hottung, Paula Wong-Chung, Kevin Tierney:
Neural Deconstruction Search for Vehicle Routing Problems. - Lezhong Wang, Duc Minh Tran, Ruiqi Cui, Thomson TG, Manmohan Chandraker, Jeppe Revall Frisvad:
Materialist: Physically Based Editing Using Single-Image Inverse Rendering. - Gang Bao, Haoran Ma, Jun Lai, Li Jingzhi:
Shape Taylor expansion for wave scattering problems. - Hegel Pedroza, Wallace Abreu, Ryan M. Corey, Iran Roman:
Guitar-TECHS: An Electric Guitar Dataset Covering Techniques, Musical Excerpts, Chords and Scales Using a Diverse Array of Hardware. - Xiaotong Guo, Deqian Yang, Dan Wang, Haochen Zhao, Yuan Li, Zhilin Sui, Tao Zhou, Lijun Zhang, Yanda Meng:
Self-adaptive vision-language model for 3D segmentation of pulmonary artery and vein. - Maxime Zanella, Clément Fuchs, Christophe De Vleeschouwer, Ismail Ben Ayed:
Realistic Test-Time Adaptation of Vision-Language Models. - Lorenzo Del Moro, Francesco Linsalata, Marouan Mizmizi, Maurizio Magarini, Damiano Badini, Umberto Spagnolini:
Bayesian EM Digital Twins Channel Estimation. - Jiaxuan Han, Cheng Huang, Jiayong Liu, Tianwei Zhang:
An Effective Docker Image Slimming Approach Based on Source Code Data Dependency Analysis. - Nicholas J. Higham, Françoise Tisseur, Marcus Webb, Zhengbo Zhou:
Computing accurate eigenvalues using a mixed-precision Jacobi algorithm. - Massimo Bernaschi, Mauro Carrozzo, Alessandro Celestini, Giacomo Piperno, Pasqua D'Ambra:
Communication-reduced Conjugate Gradient Variants for GPU-accelerated Clusters. - Usman Ali:
A Multimodal Lightweight Approach to Fault Diagnosis of Induction Motors in High-Dimensional Dataset. - Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen:
Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series. - Owais Mujtaba Khanday, José L. Pérez-Córdoba, Mohd Yaqub Mir, Ashfaq Ahmad Najar, Jose A. Gonzalez-Lopez:
NeuroIncept Decoder for High-Fidelity Speech Reconstruction from Neural Activity. - Siebe J. Schouten, Tomas Steenman, Rens File, Merlijn Den Hartog, Aimee Sakes, Cosimo Della Santina, Kirsten Lussenburg, Ebrahim Shahabi:
3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers. - Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny:
Image Segmentation: Inducing graph-based learning. - Stefan Hein Bengtson, Daniel Lehotský, Vasiliki Ismiroglou, Niels Madsen, Thomas B. Moeslund, Malte Pedersen:
AutoFish: Dataset and Benchmark for Fine-grained Analysis of Fish. - Tiago Fernandes Tavares, Fabio José Ayres:
Multi-label Cross-lingual automatic music genre classification from lyrics with Sentence BERT. - Lonni Besançon, Guillaume Cabanac, Cyril Labbé, Alexander Magazinov, Jules di Scala, Dominika Tkaczyk, Kathryn Weber-Boer:
Detection of metadata manipulations: Finding sneaked references in the scholarly literature. - Xinbin Yuan, Zhaohui Zheng, Yuxuan Li, Xialei Liu, Li Liu, Xiang Li, Qibin Hou, Ming-Ming Cheng:
Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection. - Zihao Wang, Minru Bai, Liang Chen, Xueying Zhao:
Group Sparse-based Tensor CP Decomposition: Model, Algorithms, and Applications in Chemometrics. - Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani, Ngai-Man Cheung:
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights. - Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin:
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. - Chengyuan Li, Suyang Zhou, Jieping Kong, Lei Qi, Hui Xue:
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration. - Toshimasa Ishige, Akitoshi Takayasu:
Computer-assisted proofs for finding the monodromy of Picard-Fuchs differential equations for a family of K3 toric hypersurfaces. - Ahmed Maged, Gamal Kassem:
Self-Adaptive ERP: Embedding NLP into Petri-Net creation and Model Matching. - Eduarda Caldeira, Guray Ozgur, Tahar Chettaoui, Marija Ivanovska, Peter Peer, Fadi Boutros, Vitomir Struc, Naser Damer:
MADation: Face Morphing Attack Detection with Foundation Models. - Chiara Castello, Heide Gluesing-Luerssen, Olga Polverino, Ferdinando Zullo:
Quasi-optimal cyclic orbit codes. - Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu:
Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. - Shaltiel Eloul, Yash Satsangi, Yeoh Wei Zhu, Omar Amer, Georgios Papadopoulos, Marco Pistoia:
Private, Auditable, and Distributed Ledger for Financial Institutes. - Jorge Lloret-Gazo:
Extending ChatGPT with a Browserless System for Web Product Price Extraction. - Gabriela Rus, Nadim Al Hajjar, Ionut Zima, Calin Vaida, Corina Radu, Damien Chablat, Andra Ciocan, Doina Pîsla:
An innovative mixed reality approach for Robotics Surgery. - Weilong Yang, Jie Zhang, Xunyun Liu, Yanqing Ye:
Online Reinforcement Learning-Based Dynamic Adaptive Evaluation Function for Real-Time Strategy Tasks. - Jiayao Gu, Liting Chen, Yihong Li:
Investigating the Impact of Data Selection Strategies on Language Model Performance. - Germain Bregeon, Marius Preda, Radu Ispas, Titus B. Zaharia:
MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes. - Yanqing Ye, Weilong Yang, Kai Qiu, Jie Zhang:
Three-dimensional attention Transformer for state evaluation in real-time strategy games. - Wentu Song, Kui Cai, Tony Q. S. Quek:
Sequence Reconstruction for the Single-Deletion Single-Substitution Channel. - Thijs van der Horst, Marc J. van Kreveld, Tim Ophelders, Bettina Speckmann:
The Geodesic Fréchet Distance Between Two Curves Bounding a Simple Polygon. - Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Liyu Chen, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen:
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification. - Shaoshi Chen, Hao Du, Yiman Gao, Hui Huang, Ziming Li:
A Unification of Zeilberger's Algorithm and Its q-Analogue. - Zhenkun Lu, Chaoyin She, Wei Wang, Qinghua Huang:
LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation. - Mathias Bellat, Jordy D. Orellana Figueroa, Jonathan S. Reeves, Mohammad Hossein Tahari-Mehrjardi, Claudio Tennie, Thomas Scholten:
Machine learning applications in archaeological practices: a review. - Mingjie Pan, Jiyao Zhang, Tianshu Wu, Yinghao Zhao, Wenlong Gao, Hao Dong:
OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints. - Atharva Mutsaddi, Anvi Jamkhande, Aryan Thakre, Yashodhara Haribhakta:
BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study. - Zekai Gu, Rui Yan, Jiahao Lu, Peng Li, Zhiyang Dou, Chenyang Si, Zhen Dong, Qifeng Liu, Cheng Lin, Ziwei Liu, Wenping Wang, Yuan Liu:
Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control. - Emilio De Lorenzis, Davide Martinenghi:
Partitioning Strategies for Parallel Computation of Flexible Skylines. - Silke Glas, Benjamin Unger:
Leveraging time and parameters for nonlinear model reduction methods. - Guilherme Henrique Teixeira, Michael Loibl, Benjamin Marussig:
Comparison of Integration Methods for Cut Elements. - Alexis Matzopoulos, Charl Hendriks, Hishaam Mahomed, Francois Meyer:
BabyLMs for isiXhosa: Data-Efficient Language Modelling in a Low-Resource Context. - Dengzhao Fang, Jipeng Qiang, Yi Zhu, Yun-Hao Yuan, Wei Li, Yan Liu:
Progressive Document-level Text Simplification via Large Language Models. - Hayder Elesedy:
Symmetry and Generalisation in Machine Learning. - Mohammadreza Mohades Kasaei, Farshid Alambeigi, Mohsen Khadem:
A Synergistic Framework for Learning Shape Estimation and Shape-Aware Whole-Body Control Policy for Continuum Robots. - Philip Weber, Kevin Krings, Lukas Schröder, Lea Katharina Michel, Thomas Ludwig:
Rendezfood: A Design Case Study of a Conversational Location-based Approach in Restaurants. - Xaver Maria Krückl, Verena Blaschke, Barbara Plank:
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study. - Yiting Hu, Lingjie Duan:
Truthful mechanisms for linear bandit games with private contexts. - Verena Blaschke, Felicia Koerner, Barbara Plank:
Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection. - Cristina Bazgan, Morgan Chopin, André Nichterlein, Camille Richer:
Parameterized Complexity of Segment Routing. - Ning Zhang, Timothy Shea, Arto V. Nurmikko:
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media. - Abhishek Saroha, Florian Hofherr, Mariia Gladkova, Cecilia Curreli, Or Litany, Daniel Cremers:
ZDySS - Zero-Shot Dynamic Scene Stylization using Gaussian Splatting. - Le Yang, Siyang Gao, Cheng Li, Yi Wang:
Stochastically Constrained Best Arm Identification with Thompson Sampling. - Keonwoo Kim, Yeongjae Cho, Taebaek Hwang, Minsoo Jo, Sangdo Han:
CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds. - Ali Güllü, Faiz Ali Shah, Dietmar Pfahl:
An LSTM-based Test Selection Method for Self-Driving Cars. - Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Jason Zhu, Natesh Pillai, S. Sathiya Keerthi:
AlphaPO - Reward shape matters for LLM alignment. - Kexin Gu Baugh, Luke Dickens, Alessandra Russo:
Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies. - Hongyi Wu, Hong Zhang:
Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images. - Chuxuan Hu, Austin Peters, Daniel Kang:
LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data. - Angelo Alessandri:
Robust Moving-horizon Estimation for Nonlinear Systems: From Perfect to Imperfect Optimization. - Shaolei Zhang, Qingkai Fang, Zhe Yang, Yang Feng:
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token. - Arslan Tariq Syed, Mohamed Chahine Ghanem, Elhadj Benkhelifa, Fauzia Idrees Abro:
SPECTRE: A Hybrid System for an Adaptative and Optimised Cyber Threats Detection, Response and Investigation in Volatile Memory. - Franco Ruggeri, Alessio Russo, Rafia Inam, Karl Henrik Johansson:
Explainable Reinforcement Learning via Temporal Policy Decomposition. - Ramya Jonnala, Gongbo Liang, Jeong Yang, Izzat Alsmadi:
Exploring the Potential of Large Language Models in Public Transportation: San Antonio Case Study. - Xudong Liao, Yijun Sun, Han Tian, Xinchen Wan, Yilun Jin, Zilong Wang, Zhenghang Ren, Xinyang Huang, Wenxue Li, Kin Fai Tse, Zhizhen Zhong, Guyue Liu, Ying Zhang, Xiaofeng Ye, Yiming Zhang, Kai Chen:
mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training. - Lauren Bramblett, Jonathan Reasoner, Nicola Bezzo:
Implicit Coordination using Active Epistemic Inference for Multi-Robot Systems. - Yang Yang, Mingjiao Yan, Zongliang Zhang, Xuedong Chen, Dengmiao Hao:
Steady and transient thermal stress analysis using a polygonal finite element method. - Kosuke Takemoto, Takafumi Koshinaka:
HYB-VITON: A Hybrid Approach to Virtual Try-On Combining Explicit and Implicit Warping. - Fabio V. Difonzo, Luciano Lopez, Sabrina Francesca Pellegrino:
Physics Informed Neural Networks for Learning the Horizon Size in Bond-Based Peridynamic Models. - Adrien Pommellet, Amazigh Amrane, Edgar Delaporte:
Active Learning Techniques for Pomset Recognizers. - Jiakang Yuan, Xiangchao Yan, Botian Shi, Tao Chen, Wanli Ouyang, Bo Zhang, Lei Bai, Yu Qiao, Bowen Zhou:
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback. - Mihai Croicu, Simon Polichinel von der Maase:
From Newswire to Nexus: Using text-based actor embeddings and transformer networks to forecast conflict dynamics. - David Otero, Javier Parapar, Álvaro Barreiro:
Towards Reliable Testing for Multiple Information Retrieval System Comparisons. - Yuechen Zhang, Yaoyang Liu, Bin Xia, Bohao Peng, Zexin Yan, Eric Lo, Jiaya Jia:
Magic Mirror: ID-Preserved Video Generation in Video Diffusion Transformers. - Fusang Wang, Hala Djeghim, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou:
CoStruction: Conjoint radiance field optimization for urban scene reconStruction with limited image overlap. - Anna Ivagnes, Maria Strazzullo, Michele Girfoglio, Traian Iliescu, Gianluigi Rozza:
Data-driven Optimization for the Evolve-Filter-Relax regularization of convection-dominated flows. - Hao Zheng, Xinyan Guan, Hao Kong, Jia Zheng, Hongyu Lin, Yaojie Lu, Ben He, Xianpei Han, Le Sun:
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides. - Hugo Cui, Cengiz Pehlevan, Yue M. Lu:
A precise asymptotic analysis of learning diffusion models: theory and insights. - Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal, Imran Razzak, Hakim Hacid:
Visual question answering: from early developments to recent advances - a survey. - Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín, David Camacho:
Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection. - Amy Steier, Lipika Ramaswamy, Andre Manoel, Alexa Haushalter:
Synthetic Data Privacy Metrics. - Xiangrui Meng, Ying Tan:
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization. - Frank Fagan:
Reducing Proxy Discrimination. - Jurgita Kapociute-Dzikiene, Toms Bergmanis, Marcis Pinnis:
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States. - Giulio Antonio Abbo, Tony Belpaeme:
Vision Language Models as Values Detectors. - Hedongliang Liu:
Channel Coding based on Skew Polynomials and Multivariate Polynomials. - Bingran Wang, Michael Warner, Aoran Tian, Luca Scotzniovsky, John T. Hwang:
A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing. - Satchel French, Faith Zhu, Amish Jain, Naimul Khan:
Temporal Feature Weaving for Neonatal Echocardiographic Viewpoint Video Classification. - Naoki Wake, Atsushi Kanehira, Jun Takamatsu, Kazuhiro Sasabuchi, Katsushi Ikeuchi:
VLM-driven Behavior Tree for Context-aware Task Planning. - Iskandar Khemakhem, Dominik Tschemernjak, Maximilian Raff, C. David Remy:
Impact of Leg Stiffness on Energy Efficiency in One Legged Hopping. - Krzysztof Cwian, Luca Di Giammarino, Simone Ferrari, Thomas A. Ciarfuglia, Giorgio Grisetti, Piotr Skrzypczynski:
MAD-BA: 3D LiDAR Bundle Adjustment - from Uncertainty Modelling to Structure Optimization. - Christophe Berthon, Victor Michel-Dansac:
A fully well-balanced hydrodynamic reconstruction. - Savio Sciancalepore, Gabriele Oligeri:
Cyber Spectrum Intelligence: Security Applications, Challenges and Road Ahead. - N. J. Karthika, Adyasha Patra, Nagasai Saketh Naidu, Arnab Bhattacharya, Ganesh Ramakrishnan, Chaitali Dangarikar:
Semantically Cohesive Word Grouping in Indian Languages. - Salvatore Vilella, Giancarlo Ruffo:
(De)-Indexing and the Right to be Forgotten. - Yuxi Xia, Pedro Henrique Luz de Araujo, Klim Zaporojets, Benjamin Roth:
Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles. - Sagi Polaczek, Yuval Alaluf, Elad Richardson, Yael Vinker, Daniel Cohen-Or:
NeuralSVG: An Implicit Representation for Text-to-Vector Generation. - Victor Michel-Dansac, Andrea Thomann:
TVD-MOOD schemes based on implicit-explicit time integration. - Matin Mortaheb, Mohammad Ali Amir Khojastepour, Srimat T. Chakradhar, Sennur Ulukus:
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance. - Haochen Song, Ilya Musabirov, Ananya Bhattacharjee, Audrey Durand, Meredith Franklin, Anna N. Rafferty, Joseph Jay Williams:
WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings. - Mohan Li, Martin Gjoreski, Pietro Barbiero, Gasper Slapnicar, Mitja Lustrek, Nicholas D. Lane, Marc Langheinrich:
A Survey on Federated Learning in Human Sensing. - Haobo Yuan, Xiangtai Li, Tao Zhang, Zilong Huang, Shilin Xu, Shunping Ji, Yunhai Tong, Lu Qi, Jiashi Feng, Ming-Hsuan Yang:
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos. - Rishabh Naulakha, Shubham Gaur, Dhairya Lodha, Mehek Tulsyan, Utsav Kotecha:
Extraction Of Cumulative Blobs From Dynamic Gestures. - Shaoyuan Xie, Lingdong Kong, Yuhao Dong, Chonghao Sima, Wenwei Zhang, Qi Alfred Chen, Ziwei Liu, Liang Pan:
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives. - Xiang Xu, Lingdong Kong, Hui Shuai, Liang Pan, Ziwei Liu, Qingshan Liu:
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes. - Lingdong Kong, Xiang Xu, Youquan Liu, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu:
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving. - Jean Bertin:
Advancing Similarity Search with GenAI: A Retrieval Augmented Generation Approach. - Natalya Weber, Christian Guckelsberger, Tom Froese:
Untapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning. - Mayukh Bagchi:
A Generative AI-driven Metadata Modelling Approach. - Mario Refoyo, David Luengo:
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification. - Behrooz Zarebavani, Danny M. Kaufman, David I. W. Levin, Maryam Mehri Dehnavi:
Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern. - Desen Sun, Henry Tian, Tim Lu, Sihang Liu:
FlexCache: Flexible Approximate Cache System for Video Diffusion. - Avetik Arakelyan, Rafayel Barkhudaryan:
Convergence of Physics-Informed Neural Networks for Fully Nonlinear PDE's. - Delaram Golpayegani, Harshvardhan J. Pandit, David Lewis:
AICat: An AI Cataloguing Approach to Support the EU AI Act. - Mariam Ayman, Sohaila Kandil, Alaa Moheb, Ahmed Abdelkader, Mohanned Ahmed, Walid Gomaa:
Graph Analysis of Citation and Co-authorship Networks of Egyptian Authors. - Eloi Tanguy, Julie Delon, Nathaël Gozlan:
Computing Barycentres of Measures for Generic Transport Costs. - Ruchi Guo:
Virtual element methods based on boundary triangulation:fitted and unfitted meshes. - Ahmed Abdeljawad, Thomas Dittrich:
Approximation Rates in Fréchet Metrics: Barron Spaces, Paley-Wiener Spaces, and Fourier Multipliers. - Bhavana Jonnalagadda, Stephen Becker:
Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation. - Yechen Liu, Laurent Younes:
A continuous scale space of diffeomorphisms. - Eyob Solomon Getachew, Beakal Gizachew Assefa:
Efficient Computation of Collatz Sequence Stopping Times: A Novel Algorithmic Approach. - Rui Liu, Hongyu Yuan, Haizhou Li:
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech Recognition. - Chen Yang, Junichi Nakaoka, Sohichi Hirose:
Three-dimensional DtN-FEM scattering analysis of Lamb and SH guided waves by a symmetric cavity defect in an isotropic infinite plate. - Andrea Matarazzo, Riccardo Torlone:
A Survey on Large Language Models with some Insights on their Capabilities and Limitations. - Hyun Chul Yoon, S. M. Mallikarjunaiah:
A stabilized finite element method for steady Darcy-Brinkman-Forchheimer flow model with different viscous and inertial resistances in porous media. - Yuzong Chen, Xilai Dai, Chi-chih Chang, Yash Akhauri, Mohamed S. Abdelfattah:
The Power of Negative Zero: Datatype Customization for Quantized Large Language Models. - J. S. Rauthan:
Homomorphic Encryption in Healthcare Industry Applications for Protecting Data Privacy. - Mei Wu, Wenchao Weng, Jun Li, Yiqian Lin, Jing Chen, Dewen Seng:
SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction. - Hongruyu Chen, Helena Aebersold, Milo Alan Puhan, Miquel Serra-Burriel:
Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials. - Jingquan Wang, Harry Zhang, Khailanii Slaton, Shu Wang, Radu Serban, Jinlong Wu, Dan Negrut:
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono. - Guoxing Tang, Yugen Du, Xia Chen, Yingwei Luo, Benchi Ma:
Fuzzy Information Entropy and Region Biased Matrix Factorization for Web Service QoS Prediction. - Torben Swoboda, Risto Uuk, Lode Lauwaert, Andrew P. Rebera, Ann-Katrien Oimann, Bartlomiej Chomanski, Carina Prunkl:
Examining Popular Arguments Against AI Existential Risk: A Philosophical Analysis. - Yuqi Li, Xingyou Lin, Kai Zhang, Chuanguang Yang, Zhongliang Guo, Jianping Gou, Yanli Li:
FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection. - Jamie Todd, Junqi Jiang, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Antonio Rago:
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy. - Devin Thomas, Junqi Jiang, Avinash Kori, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Francesco Belardinelli, Antonio Rago:
Explainable Reinforcement Learning for Formula One Race Strategy. - XiaoQing Zhang, Ang Lv, Yuhan Liu, Flood Sung, Wei Liu, Shuo Shang, Xiuying Chen, Rui Yan:
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives. - Long Wang, Jiongzhi Zheng, Zhengda Xiong, Kun He:
Multi-armed Bandit and Backbone boost Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problems. - Leif Van Holland, Michael Weinmann, Jan U. Müller, Patrick Stotko, Reinhard Klein:
NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives. - I Made Putrama, Péter Martinek:
Neighbor displacement-based enhanced synthetic oversampling for multiclass imbalanced data. - Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai:
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. - Martin Higgins, Devki Nandan Jha, David Blundell, David Wallom:
Security by Design Issues in Autonomous Vehicles. - Ruyin Wan, Ehsan Kharazmi, Michael S. Triantafyllou, George Em Karniadakis:
DeepVIVONet: Using deep neural operators to optimize sensor locations with application to vortex-induced vibrations. - Yupei Liu, Yanting Wang, Jinyuan Jia:
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning. - Julia Lee Romero, Kyle Min, Subarna Tripathi, Morteza Karimzadeh:
Graph-Based Multimodal and Multi-view Alignment for Keystep Recognition. - Yaozhong Shi, Zachary E. Ross, Domniki Asimaki, Kamyar Azizzadenesheli:
Stochastic Process Learning via Operator Flow Matching. - Hicham Assoudi, Hakim Lounis:
Implementing Systemic Thinking for Automatic Schema Matching: An Agent-Based Modeling Approach. - Benjamin Z. Reichman, Kartik Talamadupula:
"Yeah Right!" - Do LLMs Exhibit Multimodal Feature Transfer? - Lorenzo Pes, Maryam Dehbashizadeh Chehreghan, Rick Luiken, Sander Stuijk, Ripalta Stabile, Federico Corradi:
Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs. - Nurit Cohen-Inger, Seffi Cohen, Neomi Rabaev, Lior Rokach, Bracha Shapira:
BiasGuard: Guardrailing Fairness in Machine Learning Production Systems. - Utkarsh Prajapati, Tanushree Jain, Abhishek Machiraju, Divyam Kaushik:
Linear Optimization for the Perfect Meal: A Data-Driven Approach to Optimising the Perfect Meal Using Gurobi. - Kam Woh Ng, Jing Yang, Jia Wei Sii, Jiankang Deng, Chee Seng Chan, Yi-Zhe Song, Tao Xiang, Xiatian Zhu:
Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation. - Aishwarya Choorakuzhiyil, Kevin Ho, Sara Reyes:
Comparison of STR and EMLSR Performance in Wi-Fi 7 MLO. - Xuelu Feng, Yunsheng Li, Dongdong Chen, Mei Gao, Mengchen Liu, Junsong Yuan, Chunming Qiao:
Benchmarking Large and Small MLLMs. - Navya Yarrabelly, Saloni Mittal, Ketan Kumar Todi, Kimihiro Hasegawa:
Multilingual Open QA on the MIA Shared Task. - Siddharth Joshi, Besmira Nushi, Vidhisha Balachandran, Varun Chandrasekaran, Vibhav Vineet, Neel Joshi, Baharan Mirzasoleiman:
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation. - Shaoyue Wen, Michael Middleton, Songming Ping, Nayan N. Chawla, Guande Wu, Bradley Feest, Chihab Nadri, Yunmei Liu, David Kaber, Maryam Zahabi, Ryan P. McMahan, Sonia Castelo, Ryan McKendrick, Jing Qian, Claudio Silva:
AdaptiveCoPilot: Design and Testing of a NeuroAdaptive LLM Cockpit Guidance System in both Novice and Expert Pilots. - Lukas Einkemmer, Julian Mangott, Martina Prugger:
Automatic partitioning for the low-rank integration of stochastic Boolean reaction networks. - F. Peñuñuri, Karla B. Cantún-Avila, Ricardo Peón-Escalante:
Dual Numbers for Arbitrary Order Automatic Differentiation. - Cristian F. Nino, Omkar Sudhir Patil, Christopher D. Petersen, Sean Phillips, Warren E. Dixon:
Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks. - Donghyun Jeon, Wenbo Sun, Houbing Herbert Song, Dongfang Liu, Alvaro Velasquez, Chloe Yixin Xie, Shuteng Niu:
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion. - Karim Benharrak, Amy Pavel:
HistoryPalette: Supporting Exploration and Reuse of Past Alternatives in Image Generation and Editing. - Qingchao Li, Mohammed El-Hajjar, Kaijun Cao, Chao Xu, Harald Haas, Lajos Hanzo:
Holographic Metasurface-Based Beamforming for Multi-Altitude LEO Satellite Networks. - Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, Hamed Zamani:
Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation. - Sungjae Park, Seungho Lee, Mingi Choi, Jiye Lee, Jeonghwan Kim, Jisoo Kim, Hanbyul Joo:
Learning to Transfer Human Hand Skills for Robot Manipulations. - Prasanna Sriganesh, Burhanuddin Shirose, Matthew Travers:
A Bayesian Modeling Framework for Estimation and Ground Segmentation of Cluttered Staircases. - Navya Yarrabelly, Saloni Mittal:
Multimodal Multihop Source Retrieval for Web Question Answering. - Philipp Dominic Siedler:
HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version). - Leonid Berlyand, V. Slavin:
Fixed Points of Deep Neural Networks: Emergence, Stability, and Applications. - Santiago Arranz Olmos, Gilles Barthe, Lionel Blatter, Sören van der Wall, Zhiyuan Zhang:
Transparent Decompilation for Timing Side-Channel Analyses. - Wisdom Oluchi Ikezogwo, Kevin Zhang, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Linda G. Shapiro, Ranjay Krishna:
MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives. - Kyle Deeds, Timo Camillo Merkl:
Partition Constraints for Conjunctive Queries: Bounds and Worst-Case Optimal Joins. - Ali Imran, Giovanni Beltrame, David St-Onge:
GNN-based Decentralized Perception in Multirobot Systems for Predicting Worker Actions. - Parv Kapoor, Kazuki Mizuta, Eunsuk Kang, Karen Leung:
STLCG++: A Masking Approach for Differentiable Signal Temporal Logic Specification. - Fabian Farestam, Dilian Gurov:
Unattainability of Common Knowledge in Asymmetric Games with Imperfect Information. - Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Dataset Distillation Based on Self-knowledge Distillation. - Bowen Hao, Dongliang Zhou, Xiaojie Li, Xingyu Zhang, Liang Xie, Jianlong Wu, Erwei Yin:
LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition. - Seitaro Ono, Yuka Ogino, Takahiro Toizumi, Atsushi Ito, Masato Tsukada:
Recognition-Oriented Low-Light Image Enhancement based on Global and Pixelwise Optimization. - Sanghyeon Park, Soo-Mook Moon:
CURing Large Models: Compression via CUR Decomposition. - Abhishek Balasubramaniam, Febin P. Sunny, Sudeep Pasricha:
UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles. - Xiao Hu, Zhiang Wu:
Optimal Oblivious Algorithms for Multi-way Joins. - Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama:
Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images. - Yingjie Zhou, Tao Li:
Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization. - Amirhossein Kazeminia, Andrei A. Bulatov:
Modular Counting CSP: Reductions and Algorithms. - Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Zicheng Liu, Emad Barsoum:
Agent Laboratory: Using LLM Agents as Research Assistants. - Yu Ishihara, Noriaki Takasugi, Kotaro Kawakami, Masaya Kinoshita, Kazumi Aoyama:
Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions. - Jifeng Ge, Jianzhou Liu, Juan Zhang:
Three-precision iterative refinement with parameter regularization and prediction for solving large sparse linear systems. - Md Kamran Chowdhury Shisher, Adam Piaseczny, Yin Sun, Christopher G. Brinton:
Computation and Communication Co-scheduling for Timely Multi-Task Inference at the Wireless Edge. - Haode Yan, Ketong Ren:
A note on the differential spectrum of a class of locally APN functions. - Lingxiao Yang, Xuewen Dong, Wei Wang, Sheng Gao, Qiang Qu, Wensheng Tian, Yulong Shen:
Splicer+: Secure Hub Placement and Deadlock-Free Routing for Payment Channel Network Scalability. - Yuxuan Yang, Yilin Ma, Hengtai Chang, Cheng-Xiang Wang:
A Quasi-deterministic Channel Model for Underwater Acoustic Communication Systems. - Wenying Duan, Shujun Guo, Wei Huang, Hong Rao, Xiaoxi He:
Dynamic Localisation of Spatial-Temporal Graph Neural Network. - Yuan Zong, Lijian Xin, Jie Huang, Chengxiang Wang:
A Novel Non-Stationary Channel Emulator for 6G MIMO Wireless Channels. - Lin Hou, Hengtai Chang, Cheng-Xiang Wang, Jie Huang, Songjiang Yang:
Beam Domain Channel Estimation for Spatial Non-Stationary Massive MIMO Systems. - Zihan Chen, Guang Cheng, Jinhui Li, Tian Qin, Yuyang Zhou, Xing Luan:
Drift-oriented Self-evolving Encrypted Traffic Application Classification for Actual Network Environment. - Satyam Goyal, Soham Dan:
IOLBENCH: Benchmarking LLMs on Linguistic Reasoning. - Ajay Singh, Trevor Brown:
Publish on Ping: A Better Way to Publish Reservations in Memory Reclamation for Concurrent Data Structures. - Weidong Chen, Shan Yang, Guangzhi Li, Xixin Wu:
DrawSpeech: Expressive Speech Synthesis Using Prosodic Sketches as Control Conditions. - Baojun Che, Yifan Chen, Zhenghao Huan, Daniel Zhengyu Huang, Weijie Wang:
Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems. - Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao:
Modeling All Response Surfaces in One for Conditional Search Spaces. - Shashank Verma, Dennis S. Bernstein:
Target Tracking Using the Invariant Extended Kalman Filter with Numerical Differentiation for Estimating Curvature and Torsion. - Zhong Wang, Lele Ren, Yue Wen, Hesheng Wang:
KN-LIO: Geometric Kinematics and Neural Field Coupled LiDAR-Inertial Odometry. - Lingxiao Yang, Xuewen Dong, Zhiguo Wan, Di Lu, Yushu Zhang, Yulong Shen:
HiCoCS: High Concurrency Cross-Sharding on Permissioned Blockchains. - Lang Xu, Quentin Anthony, Jacob Hatef, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning. - Marcelo V. B. da Silva, Maria Barbosa, Anderson Queiroz, Kelvin L. Dias:
A 5G-Edge Architecture for Computational Offloading of Computer Vision Applications. - Senwei Xie, Hongyu Wang, Zhanqi Xiao, Ruiping Wang, Xilin Chen:
Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation. - Yuandi Zhao, Qianxi Xia, Yang Sun, Zhijie Wen, Liyan Ma, Shihui Ying:
Open set label noise learning with robust sample selection and margin-guided module. - Shashank Verma, Dennis S. Bernstein:
Frenet-Serret-Based Trajectory Prediction. - Shashank Verma, Juan Augusto Paredes, Jhon Manuel Portella-Delgado, Ankit Goel, Dennis S. Bernstein:
Adaptive Numerical Differentiation for Extremum Seeking with Sensor Noise. - Yichao Zhong, Chong Zhang, Tairan He, Guanya Shi:
Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics. - Yujie Tang, Meiling Wang, Yinan Deng, Zibo Zheng, Jingchuan Deng, Yufeng Yue:
OpenIN: Open-Vocabulary Instance-Oriented Navigation in Dynamic Domestic Environments. - Meng Li, Chunjie Zhou:
Willmore regularized sharp-interface model for strongly anisotropic solid-state dewetting with axisymmetric geometry: modeling and simulation. - Mirmojtaba Gharibi, John-Paul Clarke:
Cluster & Disperse: a general air conflict resolution heuristic using unsupervised learning. - Yuze Wang, Rong Xiao, Haifeng Li, Mariana Belgiu, Chao Tao:
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing Images. - Hyungjin Chung, Dohun Lee, Zihui Wu, Byung-Hoon Kim, Katherine L. Bouman, Jong Chul Ye:
ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning. - Tianqi Ren, Rongpeng Li, Ming-min Zhao, Xianfu Chen, Guangyi Liu, Yang Yang, Zhifeng Zhao, Honggang Zhang:
Separate Source Channel Coding Is Still What You Need: An LLM-based Rethinking. - Bahman Torkamandi:
Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models. - Keisuke Sugiura, Hiroki Matsutani:
ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization. - Myeongho Jeon, Suhwan Choi, Hyoje Lee, Teresa Yeo:
An Analysis of Model Robustness across Concurrent Distribution Shifts. - Zijiang Yang, Meishu Song, Xin Jing, Haojie Zhang, Kun Qian, Bin Hu, Kota Tamada, Toru Takumi, Björn W. Schuller, Yoshiharu Yamamoto:
MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge. - Seungmin Baek, Soyul Lee, Hayeon Jo, Hyesong Choi, Dongbo Min:
TADFormer : Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning. - Youran Zhou, Mohamed Reda Bouadjenek, Jonathan R. Wells, Sunil Aryal:
Handling Incomplete Heterogeneous Data using a Data-Dependent Kernel. - Siran Chen, Yuxiao Luo, Yue Ma, Yu Qiao, Yali Wang:
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving. - Yue Dai, Soyeon Caren Han, Wei Liu:
Multimodal Graph Constrastive Learning and Prompt for ChartQA. - Hyogon Ryu, NaHyeon Park, Hyunjung Shim:
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models. - Alexander Scheinker:
Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics. - Ziming Luo, Zonglin Yang, Zexin Xu, Wei Yang, Xinya Du:
LLM4SR: A Survey on Large Language Models for Scientific Research. - Jiajie Xue, Brian M. Kurkoski:
Finite Dimensional Lattice Codes with Self Error-Detection and Retry Decoding. - Kunpeng Zhang, Shuai Wang, Jitao Han, Xiaogang Zhu, Xian Li, Shaohua Wang, Sheng Wen:
Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models. - Bingjie Guo, Xinhui Chen, An Chen, Jinxin Wang, Wuhong Xue, Tao Wang, Zhixin Wu, Xiaolong Zhong, Jianmin Zeng, Jinjin Li, Mao Li, Xiaohong Xu, Yu Chen, Gang Liu:
Molecular HDD Logic for Encrypted Massive Data Storage. - Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang:
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Preethi Seshadri, Seraphina Goldfarb-Tarrant:
Who Does the Giant Number Pile Like Best: Analyzing Fairness in Hiring Contexts. - Ahmed Ayoub Bellachia, Mouhamed Amine Bouchiha, Yacine Ghamri-Doudane, Mourad Rabah:
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning. - Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. - Haonan Shi, Tu Ouyang, An Wang:
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models. - Renjie Xu, Yimin Wei, Hong Yan:
LU Decomposition and Generalized Autoone-Takagi Decomposition of Dual Matrices and their Applications. - Zhi-Lin Huang, Yixuan Liu, Chujun Qin, Zhongdao Wang, Dong Zhou, Dong Li, Emad Barsoum:
Edit as You See: Image-guided Video Editing via Masked Motion Modeling. - Jiajie Xue, Brian M. Kurkoski:
Lower Bound on the Error Rate of Genie-Aided Lattice Decoding. - Lei Liu, Zhenghao Chen, Zhihao Hu, Dong Xu:
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks. - Meryem Malak Dif, Mouhamed Amine Bouchiha, Mourad Rabah, Yacine Ghamri-Doudane:
AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning. - Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu:
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. - Mario Mally, Melina Merkel:
On Domain Decomposition for Magnetostatic Problems in 3D. - Dong-Hai Zhu, Yu-Jie Xiong, Jia-Chen Zhang, Xi-Jiong Xie, Chun-Ming Xia:
Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting. - Qiang Sun, Sirui Li, Du Huynh, Mark Reynolds, Wei Liu:
TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs. - Andrea Calì, Davide Martinenghi, Riccardo Torlone:
Keyword Search in the Deep Web. - Clément Fuchs, Maxime Zanella, Christophe De Vleeschouwer:
Online Gaussian Test-Time Adaptation of Vision-Language Models. - Xueqiang Ouyang, Jia Wei, Wenjie Huo, Xiaocong Wang, Rui Li, Jianlong Zhou:
DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction. - Lucia Pintor, Luigi Atzori, Antonio Iera:
Sustainability in Telecommunication Networks and Key Value Indicators: a Survey. - Daniel Lerch-Hostalot, David Megías:
Real-world actor-based image steganalysis via classifier inconsistency detection. - Shahaf Donio, Eran Toch:
Neighborhood Disparities in Smart City Service Adoption. - Ozkan Canay, Ümit Kocabiçak:
An innovative data collection method to eliminate the preprocessing phase in web usage mining. - Guoxin Zhang, Ziying Song, Lin Liu, Zhonghong Ou:
FGU3R: Fine-Grained Fusion via Unified 3D Representation for Multimodal 3D Object Detection. - Kunal Kathare, Ankit Dhiman, Vikas Kantha Gowda, Siddharth Aravindan, Shubham Monga, Basavaraja Shanthappa Vandrotti, Lokesh R. Boregowda:
Instructive3D: Editing Large Reconstruction Models with Text Instructions. - Xinghe Fu, Zhiyuan Yan, Taiping Yao, Shen Chen, Xi Li:
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing. - Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song:
On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis. - Huimeng Wang, Xurong Xie, Mengzhe Geng, Shujie Hu, Haoning Xu, Youjun Chen, Zhaoqing Li, Jiajun Deng, Xunying Liu:
Phone-purity Guided Discrete Tokens for Dysarthric Speech Recognition. - Yucheng Ruan, Daniel J. Tan, See-Kiong Ng, Ling Huang, Mengling Feng:
Evidence-based multimodal fusion on structured EHRs and free-text notes for ICU outcome prediction. - Lin Yuan, Kai Liang, Xiong Li, Tao Wu, Nannan Wang, Xinbo Gao:
iFADIT: Invertible Face Anonymization via Disentangled Identity Transform. - Jitao Xu, Hongyun Zhou, Lei Shen, Conghui Zhu, Jin Huang, Yitao Duan:
SEO: Stochastic Experience Optimization for Large Language Models. - Jyotiprakash Mishra, Sanjay K. Sahay:
Modern Hardware Security: A Review of Attacks and Countermeasures. - Neethu K. N, Rakshitha Y. Nayak, Rashmi, Meghana S:
Implementation Of Wildlife Observation System. - Thibaud Ardoin, Niklas Pauli, Benedikt Groß, Mahsa Kholghi, Khan Reaz, Gerhard Wunder:
Tracking UWB Devices Through Radio Frequency Fingerprinting Is Possible. - Omer Amichay, Yishay Mansour:
Rising Rested MAB with Linear Drift. - Sofie Verhees, Chandrasekhar Venkataraman, Mariya Ptashnyk:
Mathematical Modelling of Mechanotransduction via RhoA Signalling Pathways. - Yang Li, Xinyu Zhou, Jun Zhao:
Resource Allocation for the Training of Image Semantic Communication Networks. - Xiaoye Miao, Bin Li, Yangyang Wu, Meng Xi, Xinkui Zhao, Jianwei Yin:
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning. - Krisztian Balog, ChengXiang Zhai:
User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation. - Rumana Lakdawala, Roger Th. A. J. Leenders, Joris Mulder:
Not All Bonds Are Created Equal: Dyadic Latent Class Models for Relational Event Data. - Falguni Roy, Yiduo Shen, Na Zhao, Xiaofeng Ding, Md. Omar Faruk:
A Closer Look on Gender Stereotypes in Movie Recommender Systems and Their Implications with Privacy. - Félicien Hêche, Biagio Nigro, Oussama Barakat, Stephan Robert-Nicoud:
Risk-averse policies for natural gas futures trading using distributional reinforcement learning. - Ibai Coria, Mikel Abasolo, Imanol Olaskoaga, Arkaitz Etxezarreta, Josu Aguirrebeitia:
A new methodology for the optimization of bolt tightening sequences for ring type joints. - Pawel Batorski, Jannik Brinkmann, Paul Swoboda:
NSA: Neuro-symbolic ARC Challenge. - H. M. Shadman Tabib, Jaber Ahmed Deedar:
End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark: Leveraging Large Language Model Using Integrated Approach. - Pavel Kolev, Marin Vlastelica, Georg Martius:
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints. - Murat Sariyar:
User-Centered-Design as an Empty Signifier in the Context of Developing Digital Applications. - Juan Palma-Borda, Eduardo Guzmán, María-Victoria Belmonte:
A Digital Shadow for Modeling, Studying and Preventing Urban Crime. - Na Yan, Yang Su, Yansha Deng, Robert Schober:
Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions. - Doaa Mahmud, Hadeel Hajmohamed, Shamma Almentheri, Shamma Alqaydi, Lameya Aldhaheri, Ruhul Amin Khalil, Nasir Saeed:
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions. - Azhi Kh. Bapir, Ismail Y. Maolood, Dana A Abdullah, Aso K. Ameen, Abdulhady Abas Abdullah:
Effect of Information Technology on Job Creation to Support Economic: Case Studies of Graduates in Universities (2023-2024) of the KRG of Iraq. - Xin Zhang, Xue Yang, Yuxuan Li, Jian Yang, Ming-Ming Cheng, Xiang Li:
RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark. - Melanija Kraljevska, Katerina Hlavácková-Schindler, Lukas Miklautz, Claudia Plant:
Motif Discovery Framework for Psychiatric EEG Data Classification. - Seyed Amir Tafrishi, Mikhail M. Svinin, Kenji Tahara:
A Survey on Path Planning Problem of Rolling Contacts: Approaches, Applications and Future Challenges. - Dana A Abdullah, Dana Rasul Hamad, Hakem Beitollahi, Ismail Y. Maolood, Abdulhady Abas Abdullah, Aso Khaleel Ameen:
A novel Facial Recognition technique with Focusing on Masked Faces. - Jordi Canela, Vasiliki Evdoridou, Antonio Garijo, Xavier Jarque:
On the basins of attraction of a one-dimensional family of root finding algorithms: from Newton to Traub. - Bin Li, Xiaoye Miao, Yongheng Shang, Xinkui Zhao, Shuiguang Deng, Jianwei Yin:
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning. - Kevin Hermann, Simon Schneider, Catherine Tony, Asli Yardim, Sven Peldszus, Thorsten Berger, Riccardo Scandariato, M. Angela Sasse, Alena Naiakshina:
A Taxonomy of Functional Security Features and How They Can Be Located. - Lu Gan, Martin Blum, Danilo Dessì, Brigitte Mathiak, Ralf Schenkel, Stefan Dietze:
Hidden Entity Detection from GitHub Leveraging Large Language Models. - Ana M. Bernardos, Xian Wang, Luca Bergesio, Juan A. Besada, José R. Casar:
Assessing the Acceptance of a Mid-Air Gesture Syntax for Smart Space Interaction: An Empirical Study. - Christof A. Bertram, Viktoria Weiss, Taryn A. Donovan, Sweta Banerjee, Thomas Conrad, Jonas Ammeling, Robert Klopfleisch, Christopher C. Kaltenecker, Marc Aubreville:
A Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br). - Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden:
Regularising NARX models with multi-task learning. - Rubén San Segundo, Lucía Angulo, Manuel Gil-Martín, David Carramiñana, Ana M. Bernardos:
Hybrid Artificial Intelligence Strategies for Drone Navigation. - Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan, Shenbin Qian:
When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages. - Kang Chen, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu:
Rethinking High-speed Image Reconstruction Framework with Spike Camera. - Mazen Mohamad:
Understanding, Implementing, and Supporting Security Assurance Cases in Safety-Critical Domains. - Kechong Ren, Li Gao, Qi Guan:
Research on environment perception and behavior prediction of intelligent UAV based on semantic communication. - Alexander Quessy, Thomas Richardson, Sebastian East:
Safe Reinforcement Learning with Minimal Supervision. - Danilo Rafael de Lima Cabral, Pedro Antonino, Augusto Sampaio:
Demystification and Near-perfect Estimation of Minimum Gas Limit and Gas Used for Ethereum Smart Contracts. - Lukas Birkenmaier, Laureen Sieber, Felix Bergstein:
PolInterviews - A Dataset of German Politician Public Broadcast Interviews. - Zhi Jin, Yuwei Qiu, Kaihao Zhang, Hongdong Li, Wenhan Luo:
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restoration. - Guofeng Yang, Nanfei Jin, Wenjie Ai, Zhonghua Zheng, Yuhong He, Yong He:
Integrating remote sensing data assimilation, deep learning and large language model for interactive wheat breeding yield prediction. - Zhibang Liu, Chaonong Xu, Zhenjie Lv, Zhizhuo Liu, Suyu Zhao:
Collaborative Inference Acceleration with Non-Penetrative Tensor Partitioning. - Vasileios Tsekenis, Sokratis Barmpounakis, Panagiotis Demestichas, Stefan Wänstedt, Mohammad Asif Habibi, Hans D. Schotten, Ozgur Umut Akgul, Hamed Hellaoui, Apostolos Kousaridas, Milan Zivkovic, Panagiotis Botsinis, Sameh Eldessoki, Milan Groshev, Torgny Palenius:
Towards Beyond Communications 6G Networks Status and Challenges. - Debasish Dutta, Neeharika Sonowal, Irani Hazarika:
Developing a Modular Compiler for a Subset of a C-like Language. - Sicheng Wu, Minghui Liwang, Deqing Wang, Xianbin Wang, Chao Wu, Junyi Tang, Li Li, Zhenzhen Jiao:
Effective Two-Stage Double Auction for Dynamic Resource Trading in Edge Networks via Overbooking. - Mazen Elsaadany, Mads R. Almassalkhi, Simon H. Tindemans:
Linear Model of Aggregated Homogeneous Energy Storage Elements with Realizable Dispatch Guarantees. - Ruijun Feng, Hammond Pearce, Pietro Liguori, Yulei Sui:
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection. - Obinna Omego, Michal Bosy:
Multichannel Steganography: A Provably Secure Hybrid Steganographic Model for Secure Communication. - Uri Berger, Omri Abend, Lea Frermann, Gabriel Stanovsky:
Improving Image Captioning by Mimicking Human Reformulation Feedback at Inference-time. - Van Thien Nguyen, William Guicquero, Gilles Sicard:
Histogram-Equalized Quantization for logic-gated Residual Neural Networks. - Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang:
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking. - Tina Raissi, Ralf Schlüter, Hermann Ney:
Right Label Context in End-to-End Training of Time-Synchronous ASR Models. - Hongxin Zhi, Hongtao Yu, Shaome Li, Xiuming Zhao, Yiteng Wu:
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training. - Philipp Spitzer, Dominik Martin, Laurin Eichberger, Niklas Kühl:
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning. - Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu:
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes. - Victor Nascimento Ribeiro, Nina S. T. Hirata:
Combining YOLO and Visual Rhythm for Vehicle Counting. - Nicolò Botteghi, Stefania Fresca, Mengwu Guo, Andrea Manzoni:
HypeRL: Parameter-Informed Reinforcement Learning for Parametric PDEs. - Felix Hommelsheim, Zhenwei Liu, Nicole Megow, Guochuan Zhang:
Protecting the Connectivity of a Graph Under Non-Uniform Edge Failures. - Ching-Chun Chang, Yijie Lin, Isao Echizen:
Cyber-Physical Steganography in Robotic Motion Control. - Christopher Lazik, Christopher Katins, Charlotte Kauter, Jonas Jakob, Caroline Jay, Lars Grunske, Thomas Kosch:
The Impostor is Among Us: Can Large Language Models Capture the Complexity of Human Personas? - Ramtin Zargari Marandi, Anne Svane Frahm, Jens Lundgren, Daniel Dawson Murray, Maja Milojevic:
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses. - Zehan Lin, Xiaowei Wu, Shengwei Zhou:
Approximately EFX and PO Allocations for Bivalued Chores. - Tianyi Liu, Xiao Xiao, Fehmi Cirak:
Bayesian buckling load optimisation for structures with geometric uncertainties. - Aritra Banik, Fedor V. Fomin, Petr A. Golovach, Tanmay Inamdar, Satyabrata Jana, Saket Saurabh:
Multivariate Exploration of Metric Dilation. - Ruibo Wang, Mustafa A. Kishk, Howard H. Yang, Mohamed-Slim Alouini:
Satellite-Terrestrial Routing or Inter-Satellite Routing? A Stochastic Geometry Perspective. - Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Min Yang, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Yangyi Chen, Hamid Alinejad-Rokny, Fei Huang:
OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis. - Lanlan Feng, Ce Zhu, Yipeng Liu, Saiprasad Ravishankar, Longxiu Huang:
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA. - Giorgio Giannone, Ruoteng Li, Qianli Feng, Evgeny Perevodchikov, Rui Chen, Aleix Martinez:
Supervision-free Vision-Language Alignment. - Haipeng Ding, Zhewei Wei, Yuhang Ye:
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report. - Domenico Tortola, Claudio Felicioli, Andrea Canciani, Fabio Severino:
Scalable Data Notarization Leveraging Hybrid DLTs. - Travis E. Gibson, Sawal Acharya:
Regret Analysis: a control perspective. - Mario Pezzella:
High order positivity-preserving numerical methods for a non-local photochemical model. - Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu:
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection. - Zephan M. Enciso, Boyang Cheng, Likai Pei, Jianbo Liu, Steven Davis, Michael T. Niemier, Ningyuan Cao:
A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation. - Ayush Prusty, Akshita Gupta, Vivek Ashok Bohara:
Analysis of Climatic Trends and Variability in Indian Topography. - Kangsheng Yin, Quan Liu, Xuelin Shen, Yulin He, Wenhan Yang, Shiqi Wang:
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision. - Marina Moore, Alex Zenla:
Goldilocks Isolation: High Performance VMs with Edera. - Miaoyang He, Shuyong Gao, Tsui Qin Mok, Weifeng Ge, Wengqiang Zhang:
Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models. - Ryan Yan, D. Thomas Seidl, Reese E. Jones, Panayiotis Papadopoulos:
A Direct-adjoint Approach for Material Point Model Calibration with Application to Plasticity. - Runzhen Liu, Qinjie Lin, Yunfei Liu, Lijian Lin, Ye Zhu, Yu Li, Chuhua Xian, Fa-Ting Hong:
Identity-Preserving Video Dubbing Using Motion Warping. - Niklas Babendererde, Haozhe Zhu, Moritz Fuchs, Jonathan Stieber, Anirban Mukhopadhyay:
Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity. - Ivan Kankeu, Stefan Gerd Fritsch, Gunnar Schönhoff, Elie Mounzer, Paul Lukowicz, Maximilian Kiefer-Emmanouilidis:
Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning. - J. Taery Kim, Morgan Byrd, Jack L. Crandell, Bruce N. Walker, Greg Turk, Sehoon Ha:
Understanding Expectations for a Robotic Guide Dog for Visually Impaired People. - Zifan Wang, Ziqing Chen, Junyu Chen, Jilong Wang, Yuxin Yang, Yunze Liu, Xueyi Liu, He Wang, Li Yi:
MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data. - Boyang Sun, Hanzhi Chen, Stefan Leutenegger, Cesar Cadena, Marc Pollefeys, Hermann Blum:
FrontierNet: Learning Visual Cues to Explore. - Lexing Ying:
Sparse free deconvolution under unknown noise level via eigenmatrix. - Sofia Bobadilla, Monica Jin, Martin Monperrus:
Do Automated Fixes Truly Mitigate Smart Contract Exploits? - Yangfan He, Sida Li, Kun Li, Jianhui Wang, Binxu Li, Tianyu Shi, Jun Yin, Miao Zhang, Xueqian Wang:
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion. - Chandreyee Bhowmick, Xenofon D. Koutsoukos:
Resilient Peer-to-peer Learning based on Adaptive Aggregation. - Yuhe Bai:
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings. - Daniele Molino, Francesco Di Feola, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Linlin Shen, Valerio Guarrasi, Paolo Soda:
MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation. - Stefan Metzger:
Strong error estimates for a fully discrete SAV scheme for the stochastic Allen-Cahn equation with multiplicative noise. - Nikhil Manoj, Sudarshan Kumar K:
Analysis of a cetnral MUSCL-type scheme for conservation laws with discontinuous flux. - Amritanshu Pandey, Mads Almassalkhi, Samuel Chevalier:
Large-scale Grid Optimization: The Workhorse of Future Grid Computations. - Anees Al-Najjar, Domingos Paraiso, Mariam Kiran, Cristina K. Dominicini, Everson Scherrer Borges, Rafael S. Guimaraes, Magnos Martinello, Harvey Newman:
Framework for Integrating Machine Learning Methods for Path-Aware Source Routing. - Noyon Kumar Sarkar, Moumita Roy, Md. Tariq Hasan:
Design of a 6-bit Threshold Inverter Quantization (TIQ) Flash Analog to Digital Converter (ADC). - Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu:
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency. - Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller:
Evaluating Interval-based Tokenization for Pitch Representation in Symbolic Music Analysis. - Weitian Zhang, Sijing Wu, Manwen Liao, Yichao Yan:
Disentangled Clothed Avatar Generation with Layered Representation. - Giulio Antonio Abbo, Gloria Desideri, Tony Belpaeme, Micol Spitale:
"Can you be my mum?": Manipulating Social Robots in the Large Language Models Era. - Te-Lun Yang, Jyi-Shane Liu, Yuen-Hsien Tseng, Jyh-Shing Roger Jang:
Knowledge Retrieval Based on Generative AI. - Kazusato Oko, Licong Lin, Yuhang Cai, Song Mei:
A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI. - Zhiqiang Gao, Jiaqi Wang, Hangchi Shen, Zhihao Dou, Xiangbo Zhang, Kaizhu Huang:
Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification. - Beatriz Campos, Jordi Canela, Pura Vindel:
Dynamics of Newton-like root finding methods. - Farnaz Sohrabi, Mohammad Rohaninejad, Mohammad Reza Hesamzadeh, Július Bems:
Optimal Trading of a Charging-Station Company in Auction Markets for Electricity. - Gabrielle Littlefair, Niladri Shekhar Dutt, Niloy J. Mitra:
FlairGPT: Repurposing LLMs for Interior Designs. - Patrice Béchard, Orlando Marquez Ayala:
Multi-task retriever fine-tuning for domain-specific and efficient RAG. - Chen Wang, Izzet Yildirim, Hariharan Devarajan, Kathryn M. Mohror, Marc Snir:
Recorder: Comprehensive Parallel I/O Tracing and Analysis. - Wesley Scivetti, Melissa Torgbi, Austin Blodgett, Mollie Shichman, Taylor Hudson, Claire Bonial, Harish Tayyar Madabushi:
Assessing Language Comprehension in Large Language Models Using Construction Grammar. - Tarek Naous, Wei Xu:
On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena. - Nannan Li, Kevin J. Shih, Bryan A. Plummer:
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling. - Yikang Zhou, Tao Zhang, Shilin Xu, Shihao Chen, Qianyu Zhou, Yunhai Tong, Shunping Ji, Jiangning Zhang, Xiangtai Li, Lu Qi:
Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs. - Charles Corbière, Simon Roburin, Syrielle Montariol, Antoine Bosselut, Alexandre Alahi:
DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests. - Archita Srivastava, Abhas Kumar, Rajesh Kumar, Prabhakar Srinivasan:
Enhancing Financial VQA in Vision Language Models using Intermediate Structured Representations. - Violet Xiang, Charlie Snell, Kanishk Gandhi, Alon Albalak, Anikait Singh, Chase Blagden, Duy Phung, Rafael Rafailov, Nathan Lile, Dakota Mahan, Louis Castricato, Jan-Philipp Fränken, Nick Haber, Chelsea Finn:
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought. - Enes Koç, Mert Kalfa, Secil E. Dogan, Vakur B. Ertürk:
A Novel Highly Parallelizable Machine-Learning Based Method for the Fast Solution of Integral Equations for Electromagnetic Scattering Problems. - Ruilin Luo, Zhuofan Zheng, Yifan Wang, Yiyao Yu, Xinzhe Ni, Zicheng Lin, Jin Zeng, Yujiu Yang:
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics. - Zixuan Huang, Mark Boss, Aaryaman Vasishta, James M. Rehg, Varun Jampani:
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images. - Md. Nadim, Mohammad Hassan, Ashis Kumar Mandal, Chanchal K. Roy, Banani Roy, Kevin A. Schneider:
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study. - Joshua Jones, Oier Mees, Carmelo Sferrazza, Kyle Stachowicz, Pieter Abbeel, Sergey Levine:
Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding. - Yaoxiang Wang, Haoling Li, Xin Zhang, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang, Jinsong Su, Qi Chen, Scarlett Li:
EpiCoder: Encompassing Diversity and Complexity in Code Generation. - Matin Mortaheb, Mohammad Ali Amir Khojastepour, Srimat T. Chakradhar, Sennur Ulukus:
Re-ranking the Context for Multimodal Retrieval Augmented Generation. - Ulindu De Silva, Didula Samaraweera, Sasini Wanigathunga, Kavindu Kariyawasam, Kanchana Ranasinghe, Muzammal Naseer, Ranga Rodrigo:
Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation. - Lucas Prieto, Melih Barsbey, Pedro A. M. Mediano, Tolga Birdal:
Grokking at the Edge of Numerical Stability. - Yuzhou Huang, Ziyang Yuan, Quande Liu, Qiulin Wang, Xintao Wang, Ruimao Zhang, Pengfei Wan, Di Zhang, Kun Gai:
ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning. - Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang:
EditAR: Unified Conditional Generation with Autoregressive Models. - Ziyuan Huang, Mark Newman, Maria Vaida, Srikar Bellur, Roozbeh Sadeghian, Andrew Siu, Hui Wang, Kevin Huggins:
Planarian Neural Networks: Evolutionary Patterns from Basic Bilateria Shaping Modern Artificial Neural Network Architectures. - Rosario Patanè, Nadjib Achir, Andrea Araldo, Lila Boukhatem:
Can vehicular cloud replace edge computing? - Guangxiao Zhang, Gaoxi Xiao, Xinghua Liu, Yan Xu, Peng Wang:
A New Underdetermined Framework for Sparse Estimation of Fault Location for Transmission Lines Using Limited Current Measurements. - Arwin Gansekoele, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei:
Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications. - Hongwei Zhang, Meixia Tao:
SNR-EQ-JSCC: Joint Source-Channel Coding with SNR-Based Embedding and Query. - Cuihui Xia, Lei Yue, Deliang Chen, Yuyang Li, Hongqiang Yang, Ancheng Xue, Zhiqiang Li, Qing He, Guoqing Zhang, Dambaru Ballab Kattel, Lei Lei, Ming Zhou:
AI-Driven Reinvention of Hydrological Modeling for Accurate Predictions and Interpretation to Transform Earth System Modeling. - Jieyun Pan, Désir-André Koffi Bi, Ahmed Basil Kottilingal, Serena Costanzo, Jiacai Lu, Yue Ling, Ruben Scardovelli, Grétar Tryggvason, Stéphane Zaleski:
Exact computation of the color function for triangular element interfaces. - David Carramiñana, Ana M. Bernardos, Juan A. Besada, José R. Casar:
Towards resilient cities: A hybrid simulation framework for risk mitigation through data driven decision making. - Mohamed Salim Amri Sakhri, Adrien Goëffon, Olivier Goudet, Frédéric Saubion, Chaïmaâ Touhami:
Discovering new robust local search algorithms with neuro-evolution. - Victor Nascimento Ribeiro, Nina S. T. Hirata:
Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line Analysis. - Le Tieu Nien, VanCuong Pham, Vu Ngoc Son:
Development of an Adaptive Sliding Mode Controller using Neural Networks for Trajectory Tracking of a Cylindrical Manipulator. - Phillip Richter, Heiko Wersing, Anna-Lisa Vollmer:
Improving Human-Robot Teaching by Quantifying and Reducing Mental Model Mismatch. - Vu Ngoc Son, Pham Van Cuong, Nguyen Duy Minh, Phi Hoang Nha:
Optimize the parameters of the PID Controller using Genetic Algorithm for Robot Manipulators. - Kirandeep Kaur, Manya Chadha, Vinayak Gupta, Chirag Shah:
Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations. - Mykola Makhortykh, Tobias Rorhbach, Maryna Sydorova, Elizaveta Kuznetsova:
Search engines in polarized media environment: Auditing political information curation on Google and Bing prior to 2024 US elections. - Ulindu De Silva, Leon Fernando, Kalinga Bandara, Rashmika Nawaratne:
Video Summarisation with Incident and Context Information using Generative AI. - Felix Krause, Timy Phan, Vincent Tao Hu, Björn Ommer:
TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training. - Alain Couvreur, Rakhi Pratihar:
Decoding rank metric Reed-Muller codes. - Beatriz Campos, Jordi Canela, Antonio Garijo, Pura Vindel:
Dynamics of a Family of Rational Operators of Arbitrary Degree. - Andrew Bond, Jui-Hsien Wang, Long Mai, Erkut Erdem, Aykut Erdem:
GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting. - Chao Zhang, Yechen Li, Neha Arora, Damien Pierce, Carolina Osorio:
Traffic Simulations: Multi-City Calibration of Metropolitan Highway Networks. - Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan:
Leveraging Registers in Vision Transformers for Robust Adaptation. - Zeinab Askari Donbeh, Mehdi Rasti, Shiva Kazemi Taskooh, Mehdi Monemi:
An Analysis on Stabilizability and Reliability Relationship in Wireless Networked Control Systems. - Caner Odabas, Ömer Morgül:
A Novel Observer Design for LuGre Friction Estimation and Control. - M. Amin Rahimian, Michael P. Colaresi:
Democratic Resilience and Sociotechnical Shocks. - Breno Bernard Nicolau de França, Dietmar Pfahl, Valdemar Vicente Graciano Neto, Nauman Bin Ali:
Teaching Simulation as a Research Method in Empirical Software Engineering. - Sanjana Sankar, Martin Lenglet, Gérard Bailly, Denis Beautemps, Thomas Hueber:
Cued Speech Generation Leveraging a Pre-trained Audiovisual Text-to-Speech Model. - Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas:
Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval. - Andreas Vogelsang, Alexander Korn, Giovanna Broccia, Alessio Ferrari, Jannik Fischbach, Chetan Arora:
On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability. - Luke Dramko, Claire Le Goues, Edward J. Schwartz:
Fast, Fine-Grained Equivalence Checking for Neural Decompilers. - Sharareh Alipour, Ermiya Farokhnejad, Tobias Mömke:
Improved Approximation Algorithms for (1,2)-TSP and Max-TSP Using Path Covers in the Semi-Streaming Model. - Kaouther Messaoud, Matthieu Cord, Alexandre Alahi:
Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting. - Felix Jimenez, Matthias Katzfuss:
Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks. - Ziyuan Bao, Eiman Kanjo, Soumya Banerjee, Hasib-Al Rashid, Tinoosh Mohsenin:
Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning. - Anthony Deschênes, Rémi Georges, Cem Subakan, Bruna Ugulino, Antoine Henry, Michael Morin:
Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood Planers. - Allison Lahnala, Vasudha Varadarajan, Lucie Flek, H. Andrew Schwartz, Ryan L. Boyd:
Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization. - Aaron O. Feldman, Joseph A. Vincent, Maximilian Adang, Jun En Low, Mac Schwager:
Learning Robot Safety from Sparse Human Feedback using Conformal Prediction. - Ismail B. Mustapha, Muyideen Abdulkareem, Shafaatunnur Hasan, Abideen Ganiyu, Hatem Nabus, Jin Chai Lee:
Intelligent Gradient Boosting Algorithms for Estimating Strength of Modified Subgrade Soil. - Saziye Betül Özates, Tarik Emre Tiras, Ece Elif Adak, Berat Dogan, Fatih Burak Karagöz, Efe Eren Genç, Esma F. Bilgin Tasdemir:
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models. - Xuesong Wang, Caisheng Wang:
A Deep Learning-Based Method for Power System Resilience Evaluation. - Ben Goertzel:
ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms. - Zhenyu Pan, Xuefeng Song, Yunkun Wang, Rongyu Cao, Binhua Li, Yongbin Li, Han Liu:
Do Code LLMs Understand Design Patterns? - Xianbang Chen, Yikui Liu, Neng Fan, Lei Wu:
DRL-Based Medium-Term Planning of Renewable-Integrated Self-Scheduling Cascaded Hydropower to Guide Wholesale Market Participation. - Ka Wai Wu:
Blockchain-Based Secure Vehicle Auction System with Smart Contracts. - Yachuan Li, Xavier Soria Poma, Yun Bai, Qian Xiao, Chaozhi Yang, Guanlin Li, Zongmin Li:
EDMB: Edge Detector with Mamba. - Brandon J. Walton, Mst. Eshita Khatun, James M. Ghawaly, Aisha I. Ali-Gombe:
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware. - Youssef Ahendouz, Ismail Akharraz:
Classification of Self-Dual Constacyclic Codes of Prime Power Length ps Over 𝔽pm[u] / ⟨ u3⟩. - Leonardo Nagami Coregliano, Fernando Granha Jeronimo, Chris Jones, Nati Linial, Elyassaf Loyfer:
Higher-order Delsarte Dual LPs: Lifting, Constructions and Completeness. - Thang Xuan Duong, Farshad Roohbakhshan, Roger Andrew Sauer:
A new rotation-free isogeometric thin shell formulation and a corresponding continuity constraint for patch boundaries. - Sara Bourbour Hosseinbeigi, Sina Asghari, Mohammad Ali Seif Kashani, Mohammad Hossein Shalchian, Mohammad Amin Abbasi:
Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization. - Lars Rohwedder:
ETH-Tight FPT Algorithm for Makespan Minimization on Uniform Machines. - Michael F. Xu, Bilge Mutlu:
Exploring the Use of Robots for Diary Studies. - Hafiz Mughees Ahmad, Dario Morle, Afshin Rahimi:
LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning. - Matteo Giacomini, Davide Cortellessa, Luan M. Vieira, Rubén Sevilla, Antonio Huerta:
A hybrid pressure formulation of the face-centred finite volume method for viscous laminar incompressible flows. - Alexander Valverde, Luis Solano:
Back Home: A Machine Learning Approach to Seashell Classification and Ecosystem Restoration. - Long Mai, Julie Carson-Berndsen:
Real-Time Textless Dialogue Generation. - Christophe Lohou:
Topological Classification of points in Z2 by using Topological Numbers for 2D discrete binary images. - Sergio Rozada, Hoi-To Wai, Antonio G. Marques:
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning. - Tommaso Soru, Jim Marshall:
Leveraging Log Probabilities in Language Models to Forecast Future Events. - Yuan Gao, Mu Qiao:
Reach Measurement, Optimization and Frequency Capping In Targeted Online Advertising Under k-Anonymity. - Tuan D. Le, Brandon Wilber, Arpit Christi:
Evaluating Developer-written Unit Test Case Reduction for Java - A Replication Study. - M. Z. Naser:
A Look into How Machine Learning is Reshaping Engineering Models: the Rise of Analysis Paralysis, Optimal yet Infeasible Solutions, and the Inevitable Rashomon Paradox. - Michail Ouroutzoglou, Mingmin Zhao, Joshua Hellerstein, Hariharan Rahul, Asima Badic, Brian S. Kim, Dina Katabi:
Quantifying Itch and its Impact on Sleep Using Machine Learning and Radio Signals. - Seyed Amir Bidaki, Amir Mohammadkhah, Kiyan Rezaee, Faeze Hassani, Sadegh Eskandari, Maziar Salahi, Mohammad M. Ghassemi:
Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks. - Hanna Zubkova, Ji-Hoon Park, Seong-Whan Lee:
SUGAR: Leveraging Contextual Confidence for Smarter Retrieval. - Xinzhang Chen, Arash Shaghaghi, Jesse Laeuchli, Salil S. Kanhere:
Beyond Life: A Digital Will Solution for Posthumous Data Management. - Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V. S. Lakshmanan, Xiaokui Xiao:
ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries. - Nicolas Rothbacher, Kit T. Rodolfa, Mihir Bhaskar, Erin Maneri, Christine Tsang, Daniel E. Ho:
Artificial Intelligence in Environmental Protection: The Importance of Organizational Context from a Field Study in Wisconsin. - Junhyeok Cha, Seung-Bin Kim, Hyung-Seok Oh, Seong-Whan Lee:
JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis. - Tangyao Li, Yuyang Wang:
Balancing Exploration and Cybersickness: Investigating Curiosity-Driven Behavior in Virtual Environments. - Yiyao Yang, Fu Teng, Pengju Liu, Mengnan Qi, Chenyang Lv, Ji Li, Xuhong Zhang, Zhezhi He:
HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers. - Afnan A. Shah:
A Machine Learning Model for Crowd Density Classification in Hajj Video Frames. - Golriz Hosseinimanesh, Farnoosh Ghadiri, François Guibault, Farida Cheriet, Julia Keren:
From Mesh Completion to AI Designed Crown. - Jake H. Lee, Michael Kiper, David R. Thompson, Philip G. Brodrick:
SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection. - Wei Tang, Jiawei Yu, Yuang Li, Yanqing Zhao, Weidong Zhang, Wei Feng, Min Zhang, Hao Yang:
Investigating Numerical Translation with Large Language Models. - Xingang Li, Zhenghui Sha:
Image2CADSeq: Computer-Aided Design Sequence and Knowledge Inference from Product Images. - Amy Koike, Yuki Okafuji, Kenya Hoshimure, Jun Baba:
What Drives You to Interact?: The Role of User Motivation for a Robot in the Wild. - Shiji Zhao, Ranjie Duan, Fengxiang Wang, Chi Chen, Caixin Kang, Jialing Tao, YueFeng Chen, Hui Xue, Xingxing Wei:
Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency. - Zhenghui Zhao, Chen Wu, Lixiang Ru, Di Wang, Hongruixuan Chen, Cuiqun Chen:
Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing Images. - Sun-Hyuk Choi, Hayoung Jo, Seong-Whan Lee:
Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation. - Guannan Lai, Yihui Feng, Xin Yang, Xiaoyu Deng, Hao Yu, Shuyin Xia, Guoyin Wang, Tianrui Li:
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing. - Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, Feng Xia:
Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels. - Yapeng Li, Yong Luo, Lefei Zhang, Zengmao Wang, Bo Du:
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification. - Qingyu Ren, Jie Zeng, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu:
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models. - Yifan Xu, Vineet R. Kamat, Carol C. Menassa:
Seeing with Partial Certainty: Conformal Prediction for Robotic Scene Recognition in Built Environments. - Hojun Lim, Heecheol Yoo, Jinwoo Lee, Seungmin Jeon, Hyeongseok Jeon:
MORDA: A Synthetic Dataset to Facilitate Adaptation of Object Detectors to Unseen Real-target Domain While Preserving Performance on Real-source Domain. - Fazl Barez, Tingchen Fu, Ameya Prabhu, Stephen Casper, Amartya Sanyal, Adel Bibi, Aidan O'Gara, Robert Kirk, Ben Bucknall, Tim Fist, Luke Ong, Philip Torr, Kwok-Yan Lam, Robert Trager, David Krueger, Sören Mindermann, José Hernández-Orallo, Mor Geva, Yarin Gal:
Open Problems in Machine Unlearning for AI Safety. - Yuang Chen, Chang Wu, Fangyu Zhang, Chengdi Lu, Yongsheng Huang, Hancheng Lu:
Topology-aware Microservice Architecture in Edge Networks: Deployment Optimization and Implementation. - Lei Li, Xinglin Zhang, Jun Liang, Tao Chen:
Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment. - Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty:
Demystifying Domain-adaptive Post-training for Financial LLMs. - Wenqian Cui, Xiaoqi Jiao, Ziqiao Meng, Irwin King:
VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models. - Zicheng Zhang, Jiakun Liu, Ferdian Thung, Haoyu Ma, Rui Li, Yan Naing Tun, Wei Minn, Lwin Khin Shar, Shahar Maoz, Eran Toch, David Lo, Joshua Wong, Debin Gao:
Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification. - Xin Lu, Jing Qiu, Cuo Zhang, Gang Lei, Jianguo Zhu:
Promoting Shared Energy Storage Aggregation among High Price-Tolerance Prosumer: An Incentive Deposit and Withdrawal Service. - Yi Lin, Lin Gu, Ziteng Cui, Shenghan Su, Yumo Hao, Yingtao Tian, Tatsuya Harada, Jianfei Yang:
Emergence of Painting Ability via Recognition-Driven Evolution. - Benjamin J. Choi, Griffin Milsap, Clara A. Scholl, Francesco Tenore, Mattson Ogg:
Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration. - Haoran Zhu, Zhenyuan Dong, Kristi Topollai, Anna Choromanska:
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR Data. - HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon:
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation. - Corentin Delacour:
Self-Adaptive Ising Machines for Constrained Optimization. - Benjamin Z. Reichman, Xiaofan Yu, Lanxiang Hu, Jack Truxal, Atishay Jain, Rushil Chandrupatla, Tajana Simunic Rosing, Larry Heck:
SensorQA: A Question Answering Benchmark for Daily-Life Monitoring. - Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu:
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer. - Henri Aïdasso, Francis Bordeleau, Ali Tizghadam:
On the Diagnosis of Flaky Job Failures: Understanding and Prioritizing Failure Categories. - Bhargava Uppuluri, Anjel Patel, Neil Mehta, Sridhar Kamath, Pratyush Chakraborty:
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving. - Muhammad Salman, Muhammad Ikram, Nardine Basta, Mohamed Ali Kâafar:
SpaLLM-Guard: Pairing SMS Spam Detection Using Open-source and Commercial LLMs. - Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang:
TreeKV: Smooth Key-Value Cache Compression with Tree Structures. - Hanna Krasowski, Stefan Schärdinger, Murat Arcak, Matthias Althoff:
Intelligent Sailing Model for Open Sea Navigation. - Aimin Li, Shaohua Wu, Xiaomeng Chen, Sumei Sun:
Error Floor of Spinal Codes under ML Decoding. - Shaobo Li, Yirui Eric Zhou, Hao Ren, Jian Huang:
ByteFS: System Support for (CXL-based) Memory-Semantic Solid-State Drives. - Qi Chen, Changli Wu, Jiayi Ji, Yiwei Ma, Danni Yang, Xiaoshuai Sun:
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation. - Sara Sameer, Wei Zhang, Xin Lou, Qingyu Yan, Terence Goh, Yulin Gao:
GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction. - Lukas Moosbrugger, Valentin Seiler, Philipp Wohlgenannt, Sebastian Hegenbart, Sashko Ristov, Peter Kepplinger:
Load Forecasting for Households and Energy Communities: Are Deep Learning Models Worth the Effort? - Zhonghua Miao, Yang Chen, Lichao Yang, Shimin Hu, Ya Xiong:
A Fast Path-Planning Method for Continuous Harvesting of Table-Top Grown Strawberries. - Qinghao Zhang, Wenrui Li, Pinjia Zhang:
A High-accuracy Calibration Method of Transient TSEPs for Power Semiconductor Devices. - Rui Ma, Kai Zhang, Zhenying He, Yinan Jing, X. Sean Wang, Zhenqiang Chen:
CHASE: A Native Relational Database for Hybrid Queries on Structured and Unstructured Data. - Toshit Jain, Upkar Singh, Varun Singh, Vijay Kumar Boda, Ingrid Hotz, Sathish S. Vadhiyar, P. N. Vinayachandran, Vijay Natarajan:
A Scalable System for Visual Analysis of Ocean Data. - Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov, Muhammad Ahsan Mustafa, Grik Tadevosyan, Aibek Akhmetkazy, Miguel Altamirano Cabrera, Mikhail Martynov, Sausar Karaf, Dzmitry Tsetserukou:
UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation. - Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin:
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. - Xiaojie Li, Yibo Yang, Jianlong Wu, David A. Clifton, Yue Yu, Bernard Ghanem, Min Zhang:
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning. - Kevin Bönisch, Alexander Mehler:
Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles. - Yingjie Chen, Yifang Men, Yuan Yao, Miaomiao Cui, Liefeng Bo:
Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation. - Úrsula Hébert-Johnson, Daniel Lokshtanov:
Sampling Unlabeled Chordal Graphs in Expected Polynomial Time. - Ofir Marom:
A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications. - Ronghao Dang, Yuqian Yuan, Wenqi Zhang, Yifei Xin, Boqiang Zhang, Long Li, Liuyi Wang, Qinyang Zeng, Xin Li, Lidong Bing:
ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark. - Ethem Yagiz Çalik, Talha Rüzgar Akkus:
Enhancing Human-Like Responses in Large Language Models. - Jiaxin Qing, Philip H. W. Leong, Kin-Hong Lee, Raymond W. Yeung:
Towards High-Performance Network Coding: FPGA Acceleration With Bounded-value Generators. - Laurenz Ruzicka, Alexander Spenke, Stephan Bergmann, Gerd Nolden, Bernhard Kohn, Clemens Heitzinger:
Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach. - Rujie Wu, Xiaojian Ma, Hai Ci, Yue Fan, Yuxuan Wang, Haozhe Zhao, Qing Li, Yizhou Wang:
LongViTU: Instruction Tuning for Long-Form Video Understanding. - Chengxing Xie, Bowen Li, Chang Gao, He Du, Wai Lam, Difan Zou, Kai Chen:
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution. - Matthias Kaul, Kelin Luo, Matthias Mnich, Heiko Röglin:
Approximate Minimum Tree Cover in All Symmetric Monotone Norms Simultaneously. - Takuya Hasumi, Tatsuya Komatsu, Yusuke Fujita:
Music Tagging with Classifier Group Chains. - Nathan Cooper, Rosalia Tufano, Gabriele Bavota, Denys Poshyvanyk:
On the Generalizability of Transformer Models to Code Completions of Different Lengths. - Runhua Xu, Bo Li, Chao Li, James B. D. Joshi, Shuai Ma, Jianxin Li:
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning. - Zengqi Peng, Yubin Wang, Xu Han, Lei Zheng, Jun Ma:
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models. - Matteo Ciniselli, Luca Pascarella, Gabriele Bavota:
Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information. - Hao Wen, Ziqian Lu, Fengli Shen, Zheming Lu, Jia-Lin Cui:
Improving Skeleton-based Action Recognition with Interactive Object Information. - Jiaxing Zhao, Boyuan Sun, Xiang Chen, Xihan Wei, Qibin Hou:
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding. - Hounsu Kim, Taegyun Kwon, Juhan Nam:
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription. - Huabin Liu, Filip Ilievski, Cees G. M. Snoek:
Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning. - Chongzhi Zhang, Xizhou Zhu, Aixin Sun:
A Flexible and Scalable Framework for Video Moment Search. - Shuo Tong, Han Liu, Runyuan Guo, Xueqiong Tian, Wenqing Wang, Ding Liu, Youmin Zhang:
A Text-Based Knowledge-Embedded Soft Sensing Modeling Approach for General Industrial Process Tasks Based on Large Language Model. - Laurenz Ruzicka, Bernhard Kohn, Clemens Heitzinger:
TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging. - Tarun Ram Menta, Susmit Agrawal, Chirag Agarwal:
Analyzing Memorization in Large Language Models through the Lens of Model Attribution. - Harshith Manjunath, Lucas Heublein, Tobias Feigl, Felix Ott:
Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization. - Xuran Zheng, Chang D. Yoo:
DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving. - Zeyd Boukhers, Cong Yang:
Comparison of Feature Learning Methods for Metadata Extraction from PDF Scholarly Documents. - David J. Poland:
Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics. - Shiqi Cao, Liang-Jian Deng, Shangqi Deng:
ResPanDiff: Diffusion Model for Pansharpening by Inferring Residual Inference. - Yoseob Han:
Hierarchical Decomposed Dual-domain Deep Learning for Sparse-View CT Reconstruction. - Jiayang Zou, Luyao Fan, Jiayang Gao, Jia Wang:
Convexity of Mutual Information along the Fokker-Planck Flow. - Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim:
Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment. - Van Thien Nguyen, William Guicquero, Gilles Sicard:
A 1Mb mixed-precision quantized encoder for image classification and patch-based compression. - Yuhong Zhang, Jing Lin, Ailing Zeng, Guanlin Wu, Shunlin Lu, Yurong Fu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang:
Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset. - Paul Warren, Paul Mulholland, Naomi Barker:
Music and art: a study in cross-modal interpretation. - Hao-Chi Che, Huai-Ning Wu:
Coordinated Control of Deformation and Flight for Morphing Aircraft via Meta-Learning and Coupled State-Dependent Riccati Equations. - Chongjie Jiang, Yingying Dai, Jinyang Le, Xiaomeng Chen, Yu Xie, Wei Zhou, Fuzhou Niu, Ying Li, Tao Luo:
Harnessing the Power of Vibration Motors to Develop Miniature Untethered Robotic Fishes. - Naval Kishore Mehta, Arvind, Shyam Sunder Prasad, Sumeet Saurav, Sanjay Singh:
Optimizing Multitask Industrial Processes with Predictive Action Guidance. - Yixuan Yang, Xingyu Fang, Zhaowen Cheng, Pengju Yan, Xiaolin Li:
EquiBoost: An Equivariant Boosting Approach to Molecular Conformation Generation. - Daniel Nezamabadi, Magnus Myreen:
Baking for Dafny: A CakeML Backend for Dafny. - Tao Wang, Xucheng Meng, Ran Zhang, Guanghui Hu:
A Moving Mesh Isogeometric Method Based on Harmonic Maps. - Gregor Geigle, Florian Schneider, Carolin Holtermann, Chris Biemann, Radu Timofte, Anne Lauscher, Goran Glavas:
Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model. - Qing Wang, Jixun Yao, Zhaokai Sun, Pengcheng Guo, Lei Xie, John H. L. Hansen:
DiffAttack: Diffusion-based Timbre-reserved Adversarial Attack in Speaker Identification. - Alpha Diallo, Benoît Garbinato:
A Framework for Devising, Evaluating and Fine-tuning Indoor Tracking Algorithms. - Willian T. Lunardi, Abdulrahman Banabila, Dania Herzalla, Martin Andreoni:
Learning Compact and Robust Representations for Anomaly Detection. - Dewei Zhou, Ji Xie, Zongxin Yang, Yi Yang:
3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering. - Xiang Zhang, Chenchen Fu, Yufei Cui, Lan Yi, Yuyang Sun, Weiwei Wu, Xue Liu:
CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection. - Paolo Ciaccia, Davide Martinenghi, Riccardo Torlone:
Preference Queries over Taxonomic Domains. - Jiahe Pan, Sarah Schömbs, Yan Zhang, Ramtin Tabatabaei, Muhammad Bilal, Wafa Johal:
OfficeMate: Pilot Evaluation of an Office Assistant Robot. - Ali Rohan, Md Junayed Hasan, Andrei Petrovski:
A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision. - Qiushi Zhou, Antony Chacon, Jiahe Pan, Wafa Johal:
Assisting MoCap-Based Teleoperation of Robot Arm using Augmented Reality Visualisations. - Yufei Shang, Yanrong Guo, Shijie Hao, Richang Hong:
Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier. - Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
State-Based Disassembly Planning. - Yuelin Zhao, Feng Wu, Li Zhu:
A Key Conditional Quotient Filter for Nonlinear, non-Gaussian and non-Markovian System. - Marika Eik, Ahmet Kose, Hossein Nourollahi Hokmabad, Juri Belikov:
Explainable AI based System for Supply Air Temperature Forecast. - Matteo Esposito:
Bringing Order Amidst Chaos: On the Role of Artificial Intelligence in Secure Software Engineering. - Bhaskar Lalwani, Aniruddha Mukherjee:
KabaddiPy: A package to enable access to Professional Kabaddi Data. - Martin Cerný:
A New Value for Cooperative Games on Intersection-Closed Systems. - Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria Soledad Pera, Nava Tintarev, Jürgen Ziegler:
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems. - Jinghua Piao, Zhihong Lu, Chen Gao, Fengli Xu, Fernando P. Santos, Yong Li, James Evans:
Emergence of human-like polarization among large language model agents. - Yanjie Jiang, Hui Liu, Tianyi Chen, Fu Fan, Chunhao Dong, Kui Liu, Lu Zhang:
Deep Assessment of Code Review Generation Approaches: Beyond Lexical Similarity. - Siyu Liu, Zheng-Peng Duan, Jia Ouyang, Jiayi Fu, Hyunhee Park, Zikun Liu, Chun-Le Guo, Chongyi Li:
FaceMe: Robust Blind Face Restoration with Personal Identification. - Xuyang Liu, Ziming Wang, Yuhang Han, Yingyao Wang, Jiale Yuan, Jun Song, Bo Zheng, Linfeng Zhang, Siteng Huang, Honggang Chen:
Compression with Global Guidance: Towards Training-free High-Resolution MLLMs Acceleration. - Haoxu Wang, Biao Tian:
ZipEnhancer: Dual-Path Down-Up Sampling-based Zipformer for Monaural Speech Enhancement. - Alain Finkel, Gaspard Fougea, Stéphane Le Roux:
An Automata-Based Method to Formalize Psychological Theories - The Case Study of Lazarus and Folkman's Stress Theory. - Camilla Belponer, José C. Garay, Peter Munch, Daniel Peterseim:
Super-Localized Orthogonal Decomposition Method for Heterogeneous Linear Elasticity. - Shaurya Singh Rathore, Aravind Shenoy, Krish Didwania, Aditya Kasliwal, Ujjwal Verma:
HipyrNet: Hypernet-Guided Feature Pyramid network for mixed-exposure correction. - Drago Plecko, Paul Secombe, Andrea Clarke, Amelia Fiske, Samarra Toby, Donisha Duff, David Pilcher, Leo Anthony Celi, Rinaldo Bellomo, Elias Bareinboim:
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes. - Roman Mykhailyshyn, Jonathan Lee, Mykhailo Mykhailyshyn, Kensuke Harada, Ann Majewicz Fey:
Dexterous Manipulation of Deformable Objects via Pneumatic Gripping: Lifting by One End. - Siran Chen, Hongwei Jin, Shaowu Huang, Julio Benítez:
A study on the 1-Γ inverse of tensors via the M-Product. - Ruben Grandia, Espen Knoop, Michael A. Hopkins, Georg Wiedebach, Jared Bishop, Steven Pickles, David Müller, Moritz Bächer:
Design and Control of a Bipedal Robotic Character. - Xueyi Ke, Satoshi Tsutsui, Yayun Zhang, Bihan Wen:
Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning. - Shoucheng Song, Youfang Lin, Sheng Han, Chang Yao, Hao Wu, Shuo Wang, Kai Lv:
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness. - Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir:
MHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification. - Dimitris Kouremenos, Klimis S. Ntalianis:
GLaM-Sign: Greek Language Multimodal Lip Reading with Integrated Sign Language Accessibility. - Ziqing Li, Mutlu Cukurova, Sahan Bulathwela:
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education. - Léane Jourdan, Nicolas Hernandez, Richard Dufour, Florian Boudin, Akiko Aizawa:
ParaRev: Building a dataset for Scientific Paragraph Revision annotated with revision instruction. - Tianle Tao, Shizhao Peng, Tianyu Mei, Shoumo Li, Haogang Zhu:
EVA-S2PLoR: A Secure Element-wise Multiplication Meets Logistic Regression on Heterogeneous Database. - Tomas Goldsack, Carolina Scarton, Chenghua Lin:
Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond. - Fiona J. Weiss, Leon Keim, Kai Wendel, Holger Class:
Implementation Pitfalls for Carbonate Mineral Dissolution - a Technical Note. - Ludwic Leonard Méndez, Nils Thuerey, Rüdiger Westermann:
Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes. - Pei-Kang Lee, Jun-Cheng Chen, Ja-Ling Wu:
Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection. - Artem Fedorchenko, Tanel Alumäe:
Optimizing Estonian TV Subtitles with Semi-supervised Learning and LLMs. - Sadhana Ravikumar, Asma A. Khan, Matthew C. Davis, Beatriz Paniagua:
Automated external cervical resorption segmentation in cone-beam CT using local texture features. - Zuyao You, Lingyu Kong, Lingchen Meng, Zuxuan Wu:
FOCUS: Towards Universal Foreground Segmentation. - Wenhao Liao, Sineng Yan, Youqian Zhang, Xinwei Zhai, Yuanyuan Wang, Eugene Yujun Fu:
Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception. - Jonas Schöpf, Aart Middeldorp:
Automated Analysis of Logically Constrained Rewrite Systems using crest. - Tianci Wen, Zhi-Ang Liu, Biao Lu, Yongchun Fang:
Scaffold-SLAM: Structured 3D Gaussians for Simultaneous Localization and Photorealistic Mapping. - Shishir Muralidhara, René Schuster, Didier Stricker:
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions. - Yixuan Li, Lewis Frampton, Federico Mora, Elizabeth Polgreen:
Online Prompt Selection for Program Synthesis. - Laura Puccioni, Alireza Farshin, Mariano Scazzariello, Changjie Wang, Marco Chiesa, Dejan Kostic:
Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning. - Peizhuo Lv, Mengjie Sun, Hao Wang, Xiaofeng Wang, Shengzhi Zhang, Yuxuan Chen, Kai Chen, Limin Sun:
RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models. - Astrid Pechstein, Michael Neunteufel:
Direct coupling of continuum and shell elements in large deformation problems. - Changjie Wang, Mariano Scazzariello, Marco Chiesa:
From Scientific Texts to Verifiable Code: Automating the Process with Transformers. - Yewei Song, Cedric Lothritz, Xunzhu Tang, Saad Ezzini, Jacques Klein, Tegawendé F. Bissyandé, Andrey Boytsov, Ulrick Ble, Anne Goujon:
CallNavi: A Study and Challenge on Function Calling Routing and Invocation in Large Language Models. - Daniele Cipollone, Changjie Wang, Mariano Scazzariello, Simone Ferlin, Maliheh Izadi, Dejan Kostic, Marco Chiesa:
Automating the Detection of Code Vulnerabilities by Analyzing GitHub Issues. - Matteo Palazzo, Luca Roversi:
Reversible Computation with Stacks and "Reversible Management of Failures". - Atharva Mutsaddi, Aditya Choudhary:
Enhancing Plagiarism Detection in Marathi with a Weighted Ensemble of TF-IDF and BERT Embeddings for Low-Resource Language Processing. - Isaac Zhang, Ryan Zarick, Daniel Wong, Thomas Kim, Bryan Pellegrino, Mignon Li, Kelvin Wong:
QMDB: Quick Merkle Database. - Jiaxuan Peng, Mengshi Qi, Dong Zhao, Huadong Ma:
Towards Balanced Continual Multi-Modal Learning in Human Pose Estimation. - Wanli Ma, Oktay Karakus, Paul L. Rosin:
Patch-GAN Transfer Learning with Reconstructive Models for Cloud Removal. - Joan Boyar, Faith Ellen, Kim S. Larsen:
Distributed Graph Algorithms with Predictions. - Fabian Hörst, Moritz Rempe, Helmut Becker, Lukas Heine, Julius Keyl, Jens Kleesiek:
CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models. - Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian:
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. - Ritam Guha, Nilavra Pathak:
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments. - Emilia Magnani, Ernesto De Vito, Philipp Hennig, Lorenzo Rosasco:
Learning convolution operators on compact Abelian groups. - Oskar Vågerö, Koen van Greevenbroek, Aleksander Grochowicz, Maximilian Roithner:
Exploring near-optimal energy systems with stakeholders: a novel approach for participatory modelling. - Nora Gourmelon, Konrad Heidler, Erik Loebel, Daniel Cheng, Julian Klink, Anda Dong, Fei Wu, Noah Maul, Moritz Koch, Marcel Dreier, Dakota Pyles, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein:
Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning. - Pedro dos Santos, Paulo Oliveira:
Pitch Plane Trajectory Tracking Control for Sounding Rockets via Adaptive Feedback Linearization. - Wolfgang Gritz, Anett Hoppe, Ralph Ewerth:
Unraveling the Impact of Visual Complexity on Search as Learning. - Sattarov Otabek, Jaeyoung Choi:
Detection of Rumors and Their Sources in Social Networks: A Comprehensive Survey. - Puya Memarzia, Huaxin Zhang, Kelvin Ho, Ronen Grosman, Jiang Wang:
GaussDB-Global: A Geographically Distributed Database System. - Markus Pogulis, Martin Servin:
Local particle refinement in terramechanical simulations. - Daniela Antonova, Allegra Laro, Audra McMillan, Lorenz Wolf:
Private Selection with Heterogeneous Sensitivities. - Stefano Giani, Jeffrey S. Ovall, Gabriel Pinochet-Soto:
Adaptive refinement for eigenvalue problems based on an associated source problem. - Mengfan Liu, Wei Wang, Chuan Wu:
Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing. - Herbert Edelsbrunner, Christopher Fillmore, Gonçalo Oliveira:
Counting Equilibria of the Electrostatic Potential. - Gennadi I. Malaschonok:
Recursive matrix algorithms, distributed dynamic control, scaling, stability. - Xuewen Luo, Fan Ding, Ruiqi Chen, Rishikesh Panda, Junn Yong Loo, Shuyun Zhang:
"What's Happening"- A Human-centered Multimodal Interpreter Explaining the Actions of Autonomous Vehicles. - Hesham G. Moussa, Arashmid Akhavain, S. Maryam Hosseini, Bill McCormick:
Distributed Learning and Inference Systems: A Networking Perspective. - Laura State, Alejandra Bringas Colmenarejo, Andrea Beretta, Salvatore Ruggieri, Franco Turini, Stephanie Law:
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR. - Dmytro Kuzmenko, Nadiya Shvai:
Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning. - Samir Sadok, Simon Leglaive, Laurent Girin, Gaël Richard, Xavier Alameda-Pineda:
AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder. - Ari Blonda, Shan Gao, Hamed Hatami, Pooya Hatami:
Stability and List-Replicability for Agnostic Learners. - Simon Krogmann, Pascal Lenzner, Alexander Skopalik:
The Bakers and Millers Game with Restricted Locations. - Hantao Lou, Jiaming Ji, Kaile Wang, Yaodong Yang:
Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction. - Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu:
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration. - Matthew Brehmer:
Video-Conferencing Beyond Screen-Sharing and Thumbnail Webcam Videos: Gesture-Aware Augmented Reality Video for Data-Rich Remote Presentations. - Ostonya Thomas, M. Sabbir Salek, Jean-Michel Tine, Mizanur Rahman, Trayce Hockstad, Mashrur Chowdhury:
Cybersecurity in Transportation Systems: Policies and Technology Directions. - Junha Park, Ian Ryu, Jaehui Hwang, Hyungkeun Park, Jiyoon Kim, Jong-Seok Lee:
CROPS: Model-Agnostic Training-Free Framework for Safe Image Synthesis with Latent Diffusion Models. - Edmund Dable-Heath, Boyko Vodenicharski, James Bishop:
On Corrigibility and Alignment in Multi Agent Games. - Chong Liu, Dan Qiao, Ming Yin, Ilija Bogunovic, Yu-Xiang Wang:
No-Regret Linear Bandits under Gap-Adjusted Misspecification. - Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou:
Search-o1: Agentic Search-Enhanced Large Reasoning Models. - Nolan P. Shaw, P. Michael Furlong, Britt Anderson, Jeff Orchard:
Developing a Foundation of Vector Symbolic Architectures Using Category Theory. - Shuliang Ning, Yipeng Qin, Xiaoguang Han:
1-2-1: Renaissance of Single-Network Paradigm for Virtual Try-On. - Valentin De Bortoli, Alexandre Galashov, Arthur Gretton, Arnaud Doucet:
Accelerated Diffusion Models via Speculative Sampling. - Eric Boniardi, Stanley Bishop, Alison Haire:
Validation of GPU Computation in Decentralized, Trustless Networks. - Philipp Schneider:
Byzantine Fault Tolerant Protocols with Near-Constant Work per Node without Signatures. - Miguel Contreras-Altamirano, Melanie Klapprott, Nadine Jacobsen, Paul Maanen, Julius Welzel, Stefan Debener:
A Portable Solution for Simultaneous Human Movement and Mobile EEG Acquisition: Readiness Potentials for Basketball Free-throw Shooting. - Dimitrios Gerogiannis, Foivos Paraperas Papantoniou, Rolandos Alexandros Potamias, Alexandros Lattas, Stefanos Zafeiriou:
Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance. - Ofer Elior:
The Humanist Programming Novice as Novice. - Pranshu Gaba, Shibashis Guha:
Optimising expectation with guarantees for window mean payoff in Markov decision processes. - Damian Niwinski, Pawel Parys, Michal Skrzypczak:
A Dichotomy Theorem for Ordinal Ranks in MSO. - Sileshi Nibret Zeleke, Amsalu Fentie Jember, Mario A. Bochicchio:
Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic. - Sebastian Krügel, Matthias Uhl:
The global consensus on the risk management of autonomous driving. - Yongkang Du, Jen-tse Huang, Jieyu Zhao, Lu Lin:
FairCode: Evaluating Social Bias of LLMs in Code Generation. - Maximilian Dreyer, Jim Berend, Tobias Labarta, Johanna Vielhaben, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek:
Mechanistic understanding and validation of large AI models with SemanticLens. - Athulya Sundaresan Geetha:
Performance of YOLOv7 in Kitchen Safety While Handling Knife. - Armando Collado Villaverde, Pablo Muñoz, María D. R.-Moreno:
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation. - Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian:
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. - Gerald Tesauro, Gregory R. Galperin:
On-line Policy Improvement using Monte-Carlo Search. - Pedro F. Silvestre, Peter R. Pietzuch:
TimeRL: Efficient Deep Reinforcement Learning with Polyhedral Dependence Graphs. - Maximilian Alber, Stephan Tietz, Jonas Dippel, Timo Milbich, Timothée Lesort, Panos Korfiatis, Moritz Krügener, Beatriz Perez Cancer, Neelay Shah, Alexander Möllers, Philipp Seegerer, Alexandra Carpen-Amarie, Kai Standvoss, Gabriel Dernbach, Edwin de Jong, Simon Schallenberg, Andreas Kunft, Helmut Hoffer von Ankershoffen, Gavin Schaeferle, Patrick Duffy, Matt Redlon, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Andrew P. Norgan:
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics. - Wei Liu, Ruiyang Wang, Haonan Wang, Guangwei Liu:
Adaptive Path-Planning for Autonomous Robots: A UCH-Enhanced Q-Learning Approach. - Federico Formica, Chris George, Shayda Rahmatyan, Vera Pantelic, Mark Lawford, Angelo Gargantini, Claudio Menghi:
Search-based Testing of Simulink Models with Requirements Tables. - Darius Petermann, Mahdi M. Kalayeh:
Seeing Sound: Assembling Sounds from Visuals for Audio-to-Image Generation. - Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, Danqi Chen:
LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation. - Weihua Cheng, Hanwen Du, Chunxiao Li, Ersheng Ni, Liangdi Tan, Tianqi Xu, Yongxin Ni:
Uncertainty-aware Knowledge Tracing. - Guoqing Zhang, Zihan Chen, Long Wang:
Virtual-Work Based Shape-Force Sensing for Continuum Instruments with Tension-Feedback Actuation. - Xiaomeng Xu, Dominik Bauer, Shuran Song:
RoboPanoptes: The All-seeing Robot with Whole-body Dexterity. - Jerry Chongyi Hu, Mohammed Shahid Modi, Boleslaw K. Szymanski:
Using LLMs to Infer Non-Binary COVID-19 Sentiments of Chinese Micro-bloggers. - Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Thanasis Pittas:
Entangled Mean Estimation in High-Dimensions. - Xuyi Meng, Chen Wang, Jiahui Lei, Kostas Daniilidis, Jiatao Gu, Lingjie Liu:
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation. - Arthur Caetano, Yunhao Luo, Misha Sra:
Modeling User Preference in Single-Finger Grasping Interactions. - Brandon Curtis Colelough, William Regli:
Neuro-Symbolic AI in 2024: A Systematic Review. - Maxime Dieudonné, Guillaume Auzias, Julien Lefèvre:
DPF*: improved Depth Potential Function for scale-invariant sulcal depth estimation. - Haozhi Qi, Brent Yi, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik:
From Simple to Complex Skills: The Case of In-Hand Object Reorientation. - Yiwen Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin:
The GAN is dead; long live the GAN! A Modern GAN Baseline. - Aniruddha Mahapatra, Long Mai, Yitian Zhang, David Bourgin, Feng Liu:
Progressive Growing of Video Tokenizers for Highly Compressed Latent Spaces. - Jose A. Diaz-Garcia, Joao Paulo Carvalho:
A survey of textual cyber abuse detection using cutting-edge language models and large language models. - Yunzhuo Hao, Jiawei Gu, Huichen Will Wang, Linjie Li, Zhengyuan Yang, Lijuan Wang, Yu Cheng:
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark. - Runjie Yan, Yinbo Chen, Xiaolong Wang:
Consistent Flow Distillation for Text-to-3D Generation. - Yifan Yu, Shaohui Liu, Rémi Pautrat, Marc Pollefeys, Viktor Larsson:
Relative Pose Estimation through Affine Corrections of Monocular Depth Priors. - Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Shifat Islam, Tashreef Muhammad:
Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures. - David McAllister, Matthew Tancik, Jiaming Song, Angjoo Kanazawa:
Decentralized Diffusion Models. - Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei A. F. Florêncio, Cha Zhang:
ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding. - Jathushan Rajasegaran, Ilija Radosavovic, Rahul Ravishankar, Yossi Gandelsman, Christoph Feichtenhofer, Jitendra Malik:
An Empirical Study of Autoregressive Pre-training from Videos. - Chang-Eop Kim:
The Logical Impossibility of Consciousness Denial: A Formal Analysis of AI Self-Reports. - John A. McDermid, Yan Jia, Ibrahim Habli:
Upstream and Downstream AI Safety: Both on the Same River? - Jiageng Li, Zhen Dong, Chong Wang, Haozhen You, Cen Zhang, Yang Liu, Xin Peng:
LLM Based Input Space Partitioning Testing for Library APIs. - Gursimran Singh, Xinglu Wang, Ivan Hu, Timothy Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Xiaolong Bai, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan:
Efficiently serving large multimedia models using EPD Disaggregation. - Nilesh Kumar Sahu, Nandigramam Sai Harshit, Rishabh Uikey, Haroon R. Lone:
Beyond Questionnaires: Video Analysis for Social Anxiety Detection. - Nour Dekhil, Adnan Rashid, Sofiène Tahar:
Proof Recommendation System for the HOL4 Theorem Prover. - Hang Yang, Hao Chen, Hui Guo, Yineng Chen, Chingsheng Lin, Shu Hu, Jinrong Hu, Xi Wu, Xin Wang:
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models. - Shreyas Subramanian, Vikram Elango, Mecit Gungor:
Small Language Models (SLMs) Can Still Pack a Punch: A survey. - Zixuan Chen, Fengkui Ju:
Each of those eight coalition logics is also determined by six other kinds of models. - Pouria Rouzrokh, Moein Shariatnia:
LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models. - Bowei Wang, Qi Xiong, Zeqing Xiang, Lei Wang, Renzhi Chen:
RTLSquad: Multi-Agent Based Interpretable RTL Design. - Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Bernard Gosselin:
Found in Translation: semantic approaches for enhancing AI interpretability in face verification. - Qing Wu:
The 2nd Place Solution from the 3D Semantic Segmentation Track in the 2024 Waymo Open Dataset Challenge. - Jingyuan Tang, Yuhuan Zhao, Songlin Sun, Yangang Cai:
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A Survey. - Xincheng Wang, Liejun Wang, Yinfeng Yu, Xinxin Jiao:
Modality-Invariant Bidirectional Temporal Representation Distillation Network for Missing Multimodal Sentiment Analysis. - Liang Xiao, Wen Dai, Shuai Chen, Bin Qin, Chongyang Shi, Haopeng Jing, Tianyu Guo:
Retrieval-Augmented Generation by Evidence Retroactivity in LLMs. - Mohammad AL-Smadi:
IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry. - Malak Mansour, Ahmed Aly, Bahey Tharwat, Sarim Hashmi, Dong An, Ian Reid:
Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models. - John C. Rollman, Bruce Rogers, Hamed Zaribafzadeh, Daniel Buckland, Ursula Rogers, Jennifer Gagnon, Ozanan Meireles, Lindsay Jennings, Jim Bennett, Jennifer Nicholson, Nandan Lad, Linda Cendales, Andreas Seas, Alessandro Martinino, E. Shelley Hwang, Allan D. Kirk:
Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding. - Martina Leocata, Alejandro Moreo, Fabrizio Sebastiani:
The Questio de aqua et terra: A Computational Authorship Verification Study. - Ashutosh Singh, Rohitash Chandra:
HP-BERT: A framework for longitudinal study of Hinduphobia on social media via LLMs. - Mengshi Qi, Zhe Zhao, Huadong Ma:
Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE. - Yongjia Ma, Junlin Chen, Donglin Di, Qi Xie, Lei Fan, Wei Chen, Xiaofei Gou, Na Zhao, Xun Yang:
Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion. - Prashant Verma:
S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis. - Hussain Ahmad, Diksha Goel:
The Future of AI: Exploring the Potential of Large Concept Models. - Ming Li, Chenyi Zhang, Qin Li:
Monotonic Learning in the PAC Framework: A New Perspective. - S. Sanjuan, D. A. Méndez, Roger Arnau, J. M. Calabuig, X. Díaz de Otálora Aguirre, Fernando Estellés:
Mathematical Modeling and Machine Learning for Predicting Shade-Seeking Behavior in Cows Under Heat Stress. - Xiaodi Li, Dingcheng Li, Rujun Gao, Mahmoud Zamani, Latifur Khan:
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning. - Yanbing Zhou, Xiangmou Qu, Chenlong You, Jiyang Zhou, Jingyue Tang, Xin Zheng, Chunmao Cai, Yingbo Wu:
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning. - Pablo Melendez, Clemens Havas:
Spatial Information Integration in Small Language Models for Document Layout Generation and Classification. - Tristan Deleu:
Generative Flow Networks: Theory and Applications to Structure Learning. - Cheng Chen, Geng Tian, Shaoxiang Qin, Senwen Yang, Dingyang Geng, Dongxue Zhan, Jinqiu Yang, David Vidal, Liangzhu Leon Wang:
Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities. - Angold Wang:
A Survey of Interactive Verifiable Computing: Utilizing Low-degree Polynomials. - Jonathan Keane, Sam Keyser, Jeremy Kedziora:
Strategy Masking: A Method for Guardrails in Value-based Reinforcement Learning Agents. - Sergei Kudriashov, Olesya Karpik, Eduard Klyshinsky:
Shrink the longest: improving latent space isotropy with symplicial geometry. - Sergei Kudriashov, Veronika Zykova, Angelina Stepanova, Yakov Raskind, Eduard Klyshinsky:
The more polypersonal the better - a short look on space geometry of fine-tuned layers. - Yifei Li, Junbo Niu, Ziyang Miao, Chunjiang Ge, Yuanhang Zhou, Qihao He, Xiaoyi Dong, Haodong Duan, Shuangrui Ding, Rui Qian, Pan Zhang, Yuhang Zang, Yuhang Cao, Conghui He, Jiaqi Wang:
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? - Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier M. Duarte:
Neural Architecture Codesign for Fast Physics Applications. - Gourav Siddhad, Juhi Singh, Partha Pratim Roy:
MECASA: Motor Execution Classification using Additive Self-Attention for Hybrid EEG-fNIRS Data. - Katherine J. Pearce, Anna Yesypenko, James Levitt, Per-Gunnar Martinsson:
Randomized Rank-Structured Matrix Compression by Tagging. - Florian Wetzels, Heike Leitte, Christoph Garth:
Accelerating Computation of Stable Merge Tree Edit Distances using Parameterized Heuristics. - Shir Cohen, Neel Basu, Soumya Basu, Lorenzo Alvisi:
On Fair Ordering and Differential Privacy. - Zenon Lamprou, Yashar Moshfeghi:
Customizable LLM-Powered Chatbot for Behavioral Science Research. - David Noever, Forrest McKee:
Infecting Generative AI With Viruses. - Inbal Rimon, Oren Gal, Haim H. Permuter:
Unmasking Deepfakes: Leveraging Augmentations and Features Variability for Deepfake Speech Detection. - Pascal de Jong, Felix Meigel, Steffen Rulands:
Emergent weight morphologies in deep neural networks. - Mohamed Taher Alrefaie, Fatty Salem, Nour Eldin Morsy, Nada Samir, Mohamed Medhat Gaber:
The dynamics of meaning through time: Assessment of Large Language Models. - Yuri Façanha Bezerra, Weigang Li:
LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts. - Hung Huy Nguyen, Pooyan Rahmanzadehgervi, Long Mai, Anh Totti Nguyen:
Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence. - Simone Piperno, Claudio Battiloro, Andrea Ceschini, Francesca Dominici, Paolo Di Lorenzo, Massimo Panella:
Quantum Simplicial Neural Networks. - Anat Kleiman, Gintare Karolina Dziugaite, Jonathan Frankle, Sham M. Kakade, Mansheej Paul:
Soup to go: mitigating forgetting during continual learning with model averaging. - Ziyue Luo, Jia Liu, Myungjin Lee, Ness B. Shroff:
Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters. - Ravi G. Patel, T. Patrick Xiao, Sapan Agarwal, Christopher H. Bennett:
Analog Bayesian neural networks are insensitive to the shape of the weight distribution. - Mohammed Elhenawy, Huthaifa I. Ashqar, Andry Rakotonirainy, Taqwa I. Alhadidi, Ahmed Jaber, Mohammad Abu Tami:
Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding. - Benjamin Kiefer, Yitong Quan, Andreas Zell:
Approximate Supervised Object Distance Estimation on Unmanned Surface Vehicles. - Shyan Akmal, Tomohiro Koana:
Faster Edge Coloring by Partition Sieving. - Simon Mauras, Pawel Pralat, Adrian Vetta:
A Direct Proof of the Short-Side Advantage in Random Matching Markets. - Meira Iske, Hannes Albers, Tobias Knopp, Tobias Kluth:
Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging. - Alef Iury Siqueira Ferreira, Lucas R. S. Gris, Augusto Seben da Rosa, Frederico Santos de Oliveira, Edresson Casanova, Rafael Teixeira Sousa, Arnaldo Cândido Júnior, Anderson da Silva Soares, Arlindo R. Galvão Filho:
FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion. - Julian Bellavita, Thomas Pasquali, Laura Del Rio Martin, Flavio Vella, Giulia Guidi:
Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra. - Timo Saala, Lucie Flek, Alexander Jung, Akbar Karimi, Alexander Schmidt, Matthias Schott, Philipp Soldin, Christopher Wiebusch:
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations. - Jianchao Lu, Yuzhe Tian, Yang Zhang, Quan Z. Sheng, Xi Zheng:
LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning. - Tao Liu, Qi Xu, Wei Shi, Zhigang Hua, Shuang Yang:
Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning. - Michael Langberg, Moshe Schwartz, Itzhak Tamo:
Bounds on Box Codes. - Yuhao Kang:
Human-centered Geospatial Data Science. - Zixuan Feng, Igor Steinmacher, Marco Aurélio Gerosa, Tyler Menezes, Alexander Serebrenik, Reed Milewicz, Anita Sarma:
The Multifaceted Nature of Mentoring in OSS: Strategies, Qualities, and Ideal Outcomes. - Adrian Marius Dumitran, Adrian Catalin Badea, Stefan-Gabriel Muscalu, Angela-Liliana Dumitran, Stefan-Cosmin Dascalescu, Radu-Sebastian Amarie:
Exploring Large Language Models for Translating Romanian Computational Problems into English. - Shubham Kose, Jin Wei-Kocsis:
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method. - Zixuan Liang:
Harmonizing Metadata of Language Resources for Enhanced Querying and Accessibility. - Xiaoshan Zhou, Carol M. Menassa, Vineet R. Kamat:
Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface. - Jane Downer, Ren Wang, Binghui Wang:
Watermarking Graph Neural Networks via Explanations for Ownership Protection. - Marjia Siddik, Harshvardhan J. Pandit:
Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation. - Munmun De Choudhury:
Employing Social Media to Improve Mental Health Outcomes. - Zhenyu Qi, Haotang Li, Hao Qin, Kebin Peng, Sen He, Xue Qin:
Harnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study. - Kamilla Nazirkhanova, Vrushank Gunjur, X. Pilli Cruz-De Jesus, Dan Boneh:
Kite: How to Delegate Voting Power Privately. - Abel C. H. Chen:
An Efficient Key Expansion Method Applied to Security Credential Management System. - Giulio Antonio Abbo, Tony Belpaeme, Micol Spitale:
Concerns and Values in Human-Robot Interactions: A Focus on Social Robotics. - Rhitabrat Pokharel, Sina Bagheri Nezhad, Ameeta Agrawal, Suresh Singh:
The Impact of Model Scaling on Seen and Unseen Language Performance. - Anant Mehta, Bryant McArthur, Nagarjuna Kolloju, Zhengzhong Tu:
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection. - Ali Bereyhi, Ben Liang, Gary Boudreau, Ali Afana:
Regularized Top-k: A Bayesian Framework for Gradient Sparsification. - Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng, Renchu Guan:
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. - Jacob Kruse, Song Gao, Yuhan Ji, Keith Levin, Qunying Huang, Kenneth Mayer:
Identifying rich clubs in spatiotemporal interaction networks. - Juncheng Wang, Yituo Liu, Ben Liang, Min Dong:
Constrained Over-the-Air Model Updating for Wireless Online Federated Learning with Delayed Information. - Benjamin Bergougnoux, Édouard Bonnet, Julien Duron:
Mim-Width is paraNP-complete. - Joe Eappen, Zikang Xiong, Dipam Patel, Aniket Bera, Suresh Jagannathan:
Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications. - Zixuan Liang:
Automating Date Format Detection for Data Visualization. - Anna Marklová, Jirí Milicka, Leonid Ryvkin, Ludmila Lacková Bennet, Libuse Kormaníková:
Iconicity in Large Language Models. - Zixuan Liang:
Efficient Representations for High-Cardinality Categorical Variables in Machine Learning. - Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu:
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. - Chenxi Yang, Yan Li, Martin Maas, Mustafa Uysal, Ubaid Ullah Hafeez, Arif Merchant, Richard McDougall:
A Practical Cross-Layer Approach for ML-Driven Storage Placement in Warehouse-Scale Computers. - Shubham Aggarwal, Melih Bastopcu, Muhammad Aneeq uz Zaman, Tamer Basar, Sennur Ulukus, Nail Akar:
Fully Decentralized Computation Offloading in Priority-Driven Edge Computing Systems. - Yinghao Zhu, Xiaochen Zheng, Ahmed Allam, Michael Krauthammer:
TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning. - Zheqi Lv, Wenkai Wang, Jiawei Wang, Shengyu Zhang, Fei Wu:
Cascaded Self-Evaluation Augmented Training for Efficient Multimodal Large Language Models. - Rosalie Lin, Aditi Maheshwari, Jung Wook Park, Andreea Danielescu:
ExoFabric: A Re-moldable Textile System for Creating Customizable Soft Goods and Wearable Applications. - Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie Song:
TransPlace: Transferable Circuit Global Placement via Graph Neural Network. - Chen Wang, Yanfeng Gu, Xian Li:
LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds. - Zuyuan Zhang, Vaneet Aggarwal, Tian Lan:
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. - Yang Hong, Ru-Yun Tseng, Ying-Yu Chen:
Balancing Sleep and Study: Cultural Contexts in Family Informatics for Taiwanese Parents and Children. - Feiyi Chen, Leilei Zhang, Guansong Pang, Roger Zimmermann, Shuiguang Deng:
Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection. - Jaehoon Heo, Adiwena Putra, Jieon Yoon, Sungwoong Yune, Hangyeol Lee, Ji-Hoon Kim, Joo-Young Kim:
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models. - Ruitao Pu, Yang Qin, Dezhong Peng, Xiaomin Song, Huiming Zheng:
Deep Reversible Consistency Learning for Cross-modal Retrieval. - Xinyao Liao, Wei Wei, Dangyang Chen, Yuanyuan Fu:
UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation. - Shuolong Chen, Xingxing Li, Liu Yuan, Ziao Liu:
eKalibr: Dynamic Intrinsic Calibration for Event Cameras From First Principles of Events. - Daowan Peng, Wei Wei:
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation. - Aloka Fernando, Surangika Ranathunga:
Linguistic Entity Masking to Improve Cross-Lingual Representation of Multilingual Language Models for Low-Resource Languages. - Dong Hyun Jeon, Jong Kwan Lee, Prabal Dhaubhadel, Aaron Kuhlman:
Visualization Tool: Exploring COVID-19 Data. - Audrey Salmon, Katie Hammer, Eddie Antonio Santos, Brett A. Becker:
Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness. - Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch:
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. - Luyao Fan, Jiayang Zou, Jiayang Gao, Jia Wang:
Differential Properties of Information in Jump-diffusion Channels. - Yi He, Shengqi Dang, Long Ling, Ziqing Qian, Nanxuan Zhao, Nan Cao:
EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model. - Dominick Reilly, Manish Kumar Govind, Srijan Das:
From My View to Yours: Ego-Augmented Learning in Large Vision Language Models for Understanding Exocentric Daily Living Activities. - Guijin Son, Hyunwoo Ko, Dasol Choi:
Multi-Step Reasoning in Korean and the Emergent Mirage. - Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Xiangji Huang:
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond. - Umair Zulfiqar:
Non-intrusive Data-driven ADI-based Low-rank Balanced Truncation. - Chinmay K. Lalgudi, Mark E. Leone, Jaden V. Clark, Sergio Madrigal-Mora, Mario Espinoza:
Zero-shot Shark Tracking and Biometrics from Aerial Imagery. - Zhicheng Liu, Liuquan Yao, Shuai Yuan, Guiying Yan, Zhiming Ma, Yuting Liu:
Performance Analysis of Perturbation-enhanced SC decoders. - Jhih-Zen Shih, Cheng-Che Chuang, Hong-Sheng Huang, Hsuan-Tung Chen, Hung-Min Sun:
An Efficiency Firmware Verification Framework for Public Key Infrastructure with Smart Grid and Energy Storage System. - Maia Stiber, Russell H. Taylor, Chien-Ming Huang:
Robot Error Awareness Through Human Reactions: Implementation, Evaluation, and Recommendations. - Jahnavi Kumar, Venkata Lakshmana Sasaank Janapati, Mokshith Reddy Tanguturi, Sridhar Chimalakonda:
I Can't Share Code, but I need Translation - An Empirical Study on Code Translation through Federated LLM. - Shreya Chauhan, Sudhakar Chaudhary:
Space-time isogeometric method for a linear fourth order time dependent problem. - Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin:
Enabling Scalable Oversight via Self-Evolving Critic. - Sehyung Kim, Chanhyeong Yang, Jihwan Park, Taehoon Song, Hyunwoo J. Kim:
Super-class guided Transformer for Zero-Shot Attribute Classification. - Yi Ma, Shuai Wang, Tianchi Liu, Haizhou Li:
ExPO: Explainable Phonetic Trait-Oriented Network for Speaker Verification. - Guoxin Feng:
Element-wise Attention Is All You Need. - Ding Ning, Varvara Vetrova, Karin R. Bryan, Yun Sing Koh, Andreas Voskou, N'Dah Jean Kouagou, Arnab Sharma:
Diving Deep: Forecasting Sea Surface Temperatures and Anomalies. - Korawat Charoenpitaks, Van-Quang Nguyen, Masanori Suganuma, Kentaro Arai, Seiji Totsuka, Hiroshi Ino, Takayuki Okatani:
TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos. - Boris Kriuk, Keti Sulamanidze, Fedor Kriuk:
ELENA: Epigenetic Learning through Evolved Neural Adaptation. - Xiaoya Zheng, Geng Sun, Jiahui Li, Jiacheng Wang, Qingqing Wu, Dusit Niyato, Abbas Jamalipour:
UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach. - Loay Rashid, Siddharth Roheda, Amit Satish Unde:
LLVD: LSTM-based Explicit Motion Modeling in Latent Space for Blind Video Denoising. - Henry D. Pfister, Oscar Sprumont, Gilles Zémor:
From Bit to Block: Decoding on Erasure Channels. - Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Bidyarthi Paul, Tashreef Muhammad:
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models. - Sonia Raychaudhuri, Angel X. Chang:
Semantic Mapping in Indoor Embodied AI - A Comprehensive Survey and Future Directions. - Sungjae Lee, Hyejin Park, Jaechang Kim, Jungseul Ok:
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models. - Madhurananda Pahar, Fuxiang Tao, Bahman Mirheidari, Nathan Pevy, Rebecca Bright, Swapnil Gadgil, Lise Sproson, Dorota Braun, Caitlin Illingworth, Daniel Blackburn, Heidi Christensen:
CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech. - Seungjoo Shin, Jaesik Park, Sunghyun Cho:
Locality-aware Gaussian Compression for Fast and High-quality Rendering. - Ranthony A. Clark, Susan Glenn, Harlin Lee, Soledad Villar:
Empirical Power Analysis of a Statistical Test to Quantify Gerrymandering. - Shangjin Zhai, Zhichao Ye, Jialin Liu, Weijian Xie, Jiaqi Hu, Zhen Peng, Hua Xue, Danpeng Chen, Xiaomeng Wang, Lei Yang, Nan Wang, Haomin Liu, Guofeng Zhang:
StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation. - Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He:
Controlling Large Language Models Through Concept Activation Vectors. - Priya T. V., Shrisha Rao:
Deontic Temporal Logic for Formal Verification of AI Ethics. - You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun:
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models. - Van Thuy Hoang, Tien-Bach-Thanh Do, Jinho Seo, Seung Charlie Kim, Luong Vuong Nguyen, Duong Nguyen Minh Huy, Hyeon-Ju Jeon, O-Joun Lee:
Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products. - Duanpeng Shi, Wendong Zheng, Di Guo, Huaping Liu:
Conditional Diffusion Model for Electrical Impedance Tomography. - Van Truong Hoang:
Path Planning for Multi-Copter UAV Formation Employing a Generalized Particle Swarm Optimization. - Siyang Wang:
Stable and high-order accurate finite difference methods for the diffusive viscous wave equation. - Herdiantri Sufriyana, Emily Chia-Yu Su:
rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithms. - Shunxin Guo, Hongsong Wang, Shuxia Lin, Xu Yang, Xin Geng:
STHFL: Spatio-Temporal Heterogeneous Federated Learning. - Lixiu Dong, Cheng Wang, Zhengru Zhang:
A positivity-preserving, second-order energy stable and convergent numerical scheme for a ternary system of macromolecular microsphere composite hydrogels. - Yachao Li, Dong Liang, Tianyu Ding, Sheng-Jun Huang:
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution. - Ahan Basu, Bhabani Shankar Dey, Pushpak Jagtap:
Formally Verified Neural Lyapunov Function for Incremental Input-to-State Stability of Unknown Systems. - Shuyi Chen, Junhong Jia, Baoqing Zhang, Yingzhe Hui, Yifan Qin, Weixiao Meng, Tianheng Xu:
Multi-layer RIS on Edge: Communication, Computation and Wireless Power Transfer. - Yanjie Li, Wenxuan Zhang, Kaisheng Liang, Bin Xiao:
UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping. - Patrick Lacharme, Kevin Thiry-Atighehchi:
Cryptanalysis of Cancelable Biometrics Vault. - Taywon Min, Haeone Lee, Hanho Ryu, Yongchan Kwon, Kimin Lee:
Understanding Impact of Human Feedback via Influence Functions. - Michael Marzella, Andrea Bombarda, Marcello Minervini, Nunzio Marco Bisceglia, Angelo Gargantini, Claudio Menghi:
Test Case Generation for Simulink Models: An Experience from the E-Bike Domain. - Mingjun Ma, Tiantian Zhu, Tieming Chen, Shuang Li, Jie Ying, Chunlin Xiong, Mingqi Lv, Yan Chen:
ActMiner: Applying Causality Tracking and Increment Aligning for Graph-based Cyber Threat Hunting. - Keita Kinjo:
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization. - Boaz Patt-Shamir, Adi Rosén, Seeun William Umboh:
Colorful Vertex Recoloring of Bipartite Graphs. - Haonan Chen, Daihang Chen, Yizhuo Yang, Lingyun Xu, Liang Gao, Mingyi Zhou, Chunming Hu, Li Li:
ArkAnalyzer: The Static Analysis Framework for OpenHarmony. - Sunwoo Kim, Minkyu Kim, Dongmin Park:
Alignment without Over-optimization: Training-Free Solution for Diffusion Models. - Jingyi Cheng, Shadi Sharif Azadeh:
Real-Time Integrated Dispatching and Idle Fleet Steering with Deep Reinforcement Learning for A Meal Delivery Platform. - Fuhang Liang, Rucong Xu, Deng Lin:
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks. - Mathys Jam, Eric Petit, Pablo de Oliveira Castro, David Defour, Greg Henry, William Jalby:
MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning. - Gilles Sahut, André Tricot:
Social web and Wikipedia: an opportunity to rethink the links between sources' credibility, trust and authority. - Nuthasith Gerdpratoom, Fumiya Matsuzaki, Yutaka Yamamoto, Kaoru Yamamoto:
Enhanced sampled-data model predictive control via nonlinear lifting. - Deshan Sumanathilaka, Isuri Anuradha, Ruvan Weerasinghe, Nicholas Micallef, Julian Hough:
IndoNLP 2025: Shared Task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages. - Yousef Emami, Hao Zhou, Luis Almeida, Kai Li:
Diffusion Models for Smarter UAVs: Decision-Making and Modeling. - Erica Andreose, Salvatore Di Marzo, Ivan Heibi, Silvio Peroni, Leonardo Zilli:
Analysing the coverage of the University of Bologna's publication metadata in an existing source of open research information. - Xinting Hu, Haoran Wang, Jan Eric Lenssen, Bernt Schiele:
PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation. - Felix Duelmer, Mohammad Farid Azampour, Nassir Navab:
UltraRay: Full-Path Ray Tracing for Enhancing Realism in Ultrasound Simulation. - Jiale Zhang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Qingming Li, Haibo Hu, Xiapu Luo, Qingqing Ye, Shouling Ji:
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data. - Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar, Sriparna Saha, K. J. Joseph, Koustava Goswami:
Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models. - Vikram Kamath Cannanure, Sharon Wolf, Kaja Jasinska, Timothy X. Brown, Amy Ogan:
Applying Think-Aloud in ICTD: A Case Study of a Chatbot Use by Teachers in Rural Côte d'Ivoire. - Bendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamás Péni, Maarten Schoukens, Roland Tóth:
Orthogonal projection-based regularization for efficient model augmentation. - Vyacheslav Kungurtsev, Leonardo Christov Moore, Gustav Sir, Martin Krutsky:
"Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning". - Pablo Loyola, Kento Hasegawa, Andres Hoyos-Idobro, Kazuo Ono, Toyotaro Suzumura, Yu Hirate, Masanao Yamaoka:
Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization. - Andreas Grendas, Michael Wiesheu, Sebastian Schöps, Benjamin Marussig:
Isogeometric Analysis for 2D Magnetostatic Computations with Multi-level Bézier Extraction for Local Refinement. - Haoxuan Xu, Bo Li, Guanglin Niu:
Identity-aware Feature Decoupling Learning for Clothing-change Person Re-identification. - Aswini Kumar Patra, Soraisham Elizabeth Devi, Tejashwini Gajurel:
MRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework. - Antonin Poché, Alon Jacovi, Agustin Martin Picard, Victor Boutin, Fanny Jourdan:
ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. - Yifan Zhao, Jia Li, Zeyin Song, Yonghong Tian:
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning. - Lucas C. Cordeiro, Matthew L. Daggitt, Julien Girard-Satabin, Omri Isac, Taylor T. Johnson, Guy Katz, Ekaterina Komendantskaya, Augustin Lemesle, Edoardo Manino, Artjoms Sinkarovs, Haoze Wu:
Neural Network Verification is a Programming Language Challenge. - Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira:
A Neighbor-based Approach to Pitch Ownership Models in Soccer. - Haris Bin Zia, Aravindh Raman, Ignacio Castro, Gareth Tyson:
Collaborative Content Moderation in the Fediverse. - Matteo Semplice, Alessandra Zappa:
Numerical entropy production in finite volume ADER schemes. - Soyeong Jeong, Kangsan Kim, Jinheon Baek, Sung Ju Hwang:
VideoRAG: Retrieval-Augmented Generation over Video Corpus. - Daniel Rossi, Guido Borghi, Roberto Vezzani:
TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios. - Jose Maria Buades Rubio, Antoni Jaume-i-Capó, David López González, Gabriel Moyà Alcover:
Solving nonograms using Neural Networks. - Dabing Cheng, Haosen Zhan, Xingchen Zhao, Guisheng Liu, Zemin Li, Jinghui Xie, Zhao Song, Weiguo Feng, Bingyue Peng:
Text-to-Edit: Controllable End-to-End Video Ad Creation via Multimodal LLMs. - Zhifan Song, Yuan Zhang, Abd Al Rahman M. Abu Ebayyeh:
EDNet: Edge-Optimized Small Target Detection in UAV Imagery - Faster Context Attention, Better Feature Fusion, and Hardware Acceleration. - Bianca Raimondi, Saverio Giallorenzo, Maurizio Gabbrielli:
Affordably Fine-tuned LLMs Provide Better Answers to Course-specific MCQs. - Minxing Luo, Zixun Xia, Liaojun Chen, Zhenhang Li, Weichao Zeng, Jianye Wang, Wentao Cheng, Yaxing Wang, Yu Zhou, Jian Yang:
Beyond Flat Text: Dual Self-inherited Guidance for Visual Text Generation. - Mathieu Delcluze, Antoine Khoury, Clémence Vast, Valerio Arnaudo, Léa Briand, Walid Bendada, Thomas Bouabça:
Text2Playlist: Generating Personalized Playlists from Text on Deezer. - Riccardo Rubei, Aicha Moussaid, Claudio Di Sipio, Davide Di Ruscio:
Prompt engineering and its implications on the energy consumption of Large Language Models. - Ziheng Wu, Zhenghao Chen, Ruipu Luo, Can Zhang, Yuan Gao, Zhentao He, Xian Wang, Haoran Lin, Minghui Qiu:
Valley2: Exploring Multimodal Models with Scalable Vision-Language Design. - Vahid Mohammadi, Stefano De Marchi:
A Note on the Direct Approximation of Derivatives in Rational Radial Basis Functions Partition of Unity Method. - Honglin Cao, Zijian Zhou, Wenjie Wei, Ammar Belatreche, Yu Liang, Dehao Zhang, Malu Zhang, Yang Yang, Haizhou Li:
Binary Event-Driven Spiking Transformer. - Usha-Sri Potti, Hong-Sheng Huang, Hsuan-Tung Chen, Hung-Min Sun:
Security Testing Framework for Web Applications: Benchmarking ZAP V2.12.0 and V2.13.0 by OWASP as an example. - Deirdre Ahern:
The New Anticipatory Governance Culture for Innovation: Regulatory Foresight, Regulatory Experimentation and Regulatory Learning. - Frans Öhrström, Joakim Oscarsson, Zeeshan Afzal, János Dani, Mikael Asplund:
From Balance to Breach: Cyber Threats to Battery Energy Storage Systems. - Petraq Nako, Adam Jatowt:
Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction. - Ruby Ostrow, Adam Lopez:
LLMs Reproduce Stereotypes of Sexual and Gender Minorities. - Carlo R. M. A. Santagiustina, Jean-Philippe Cointet, Pedro Ramaciotti Morales:
Expressing One's Identity Online: Left-Right and cross EU-country variation in self-representation in social media. - Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Stjepan Picek:
Towards Backdoor Stealthiness in Model Parameter Space. - Ying Zhang, Guohui Tian, Cui-Hua Zhang, Changchun Hua, Weili Ding, Choon Ki Ahn:
Environment Modeling for Service Robots From a Task Execution Perspective. - Yongfan Lai, Jiabo Chen, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong:
DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information. - Olivier Morelle, Justus Bisten, Maximilian W. M. Wintergerst, Robert Patrick Finger, Thomas Schultz:
Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2. - Asfia Kawnine, Francis Palma, Seyed Alireza Rahimi Azghadi, Hung Cao:
Encoded Spatial Attribute in Multi-Tier Federated Learning. - Naval Kishore Mehta, Arvind, Himanshu Kumar, Abeer Banerjee, Sumeet Saurav, Sanjay Singh:
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction. - Milena Veneva, Toshiyuki Imamura:
ML-Based Optimum Number of CUDA Streams for the GPU Implementation of the Tridiagonal Partition Method. - Jialin Xie, Xiaodi Zhang:
Reformulated formulation and efficient fully discrete finite element method for a conductive ferrofluid model. - Antonio Consolo, Edoardo Amaldi, Andrea Manno:
Soft regression trees: a model variant and a decomposition training algorithm. - Mayank Singh, Noor Hakam, Trisha M. Kesar, Nitin Sharma:
Koopman-Based Model Predictive Control of Functional Electrical Stimulation for Ankle Dorsiflexion and Plantarflexion Assistance. - Yash Khare, Taufiquzzaman Peyash, Andrea Vanzo, Takuya Yoshioka:
Universal-2-TF: Robust All-Neural Text Formatting for ASR. - Hongyuan Dong, Zijian Kang, Weijie Yin, Xiao Liang, Chao Feng, Jiao Ran:
Scalable Vision Language Model Training via High Quality Data Curation. - Yuyang Wang, Yukuan Hu, Xin Liu:
Complexity of Tensor Product Functions in Representing Antisymmetry. - Kuan Liu, Zongyuan Ying, Jie Jin, Dongyan Li, Ping Huang, Wenjian Wu, Zhe Chen, Jin Qi, Yong Lu, Lianfu Deng, Bo Chen:
Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers. - Bennett Kleinberg, Riccardo Loconte, Bruno Verschuere:
Effective faking of verbal deception detection with target-aligned adversarial attacks. - Emil Nuutinen, Iiro Rastas, Filip Ginter:
Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations. - Alan Said:
Recommender Systems for Social Good: The Role of Accountability and Sustainability. - Yunmeng Shu, Shaofeng Li, Tian Dong, Yan Meng, Haojin Zhu:
Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory. - Ryan Whetten, Lucas Maison, Titouan Parcollet, Marco Dinarelli, Yannick Estève:
Towards Early Prediction of Self-Supervised Speech Model Performance. - Arthur Bousquet, Sugata Banerji, Mark F. Conneely, Shahrzad Jamshidi:
A Brain Age Residual Biomarker (BARB): Leveraging MRI-Based Models to Detect Latent Health Conditions in U.S. Veterans. - Eunjung Cho, Won Ik Cho, Soomin Seo:
Hermit Kingdom Through the Lens of Multiple Perspectives: A Case Study of LLM Hallucination on North Korea. - Wessel L. van Nierop, Nir Shlezinger, Ruud J. G. van Sloun:
Deep Variational Sequential Monte Carlo for High-Dimensional Observations. - Kerianne L. Hobbs, Sean Phillips, Michelle Simon, Joseph B. Lyons, Jared Culbertson, Hamilton Scott Clouse, Nathaniel Hamilton, Kyle Dunlap, Zachary S. Lippay, Joshua Aurand, Zachary I. Bell, Taleri Hammack, Dorothy Ayres, Rizza Lim:
The Safe Trusted Autonomy for Responsible Space Program. - Divya Mani Adhikari, Vikram Kamath Cannanure, Alexander Hartland, Ingmar Weber:
Exploring LLMs for Automated Pre-Testing of Cross-Cultural Surveys. - Eklavya Sarkar, Mathew Magimai-Doss:
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing. - Shubham Bansal, Vikas Joshi, Harveen Chadha, Rupeshkumar Mehta, Jinyu Li:
Addressing speaker gender bias in large scale speech translation systems. - Flavio Pisciotta, Ludovica Pannitto, Lucia Busso, Beatrice Bernasconi, Francesca Masini:
Constraining constructions with WordNet: pros and cons for the semantic annotation of fillers in the Italian Constructicon. - Yifan Zhang, Yunjie Gu, Yue Zhu, Timothy C. Green, Hsiao-Dong Chiang:
On the Interaction in Transient Stability of Two-Inverter Power Systems containing GFL inverter Using Manifold Method. - Sanjay Kumar, Hiep Truong, Sushil Sharma, Ganesh Sistu, Tony Scanlan, Eoin Martino Grua, Ciarán Eising:
Minimizing Occlusion Effect on Multi-View Camera Perception in BEV with Multi-Sensor Fusion. - Fedor Taggenbrock, Gertjan J. Burghouts, Ronald Poppe:
Self-Supervised Partial Cycle-Consistency for Multi-View Matching. - Kevin Mancini, Islem Rekik:
DeltaGNN: Graph Neural Network with Information Flow Control. - Stefan Mautner, Rolf Backofen, Fabrizio Costa:
Learning to generate feasible graphs using graph grammars. - Yin Wang, Zixuan Wang, Hao Lu, Zhen Qin, Hailiang Zhao, Guanjie Cheng, Ge Su, Li Kuang, Mengchu Zhou, Shuiguang Deng:
SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples. - Stefan Popov, Amit Raj, Michael Krainin, Yuanzhen Li, William T. Freeman, Michael Rubinstein:
CamCtrl3D: Single-Image Scene Exploration with Precise 3D Camera Control. - Sanchit Bedi, Karn Tiwari, Prathosh A. P., Sri Harsha Kota, N. M. Anoop Krishnan:
CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities. - Zhifan Lu, Siyang Sun, Yixin Sun:
RPKI-Based Location-Unaware Tor Guard Relay Selection Algorithms. - David Bojanic, Stefanie Wuhrer, Tomislav Petkovic, Tomislav Pribanic:
Pose-independent 3D Anthropometry from Sparse Data. - Nathaniel Hamilton, Kyle Dunlap, Kerianne L. Hobbs:
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems. - Hongruixuan Chen, Jian Song, Olivier Dietrich, Clifford Broni-Bediako, Weihao Xuan, Junjue Wang, Xinlei Shao, Yimin Wei, Junshi Xia, Cuiling Lan, Konrad Schindler, Naoto Yokoya:
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response. - Romina Oji, Jenny Kunz:
How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters. - Bernat Galmés, Gabriel Moyà-Alcover, Pedro Bibiloni, Javier Varona, Antoni Jaume-i-Capó:
Geometric-Based Nail Segmentation for Clinical Measurements. - Shikhar Pandey, Gowtham Kandaperumal, Arslan Ahmad, Ian Dobson:
Resiliency metrics quantifying emergency response in a distribution system. - Oindrila Saha, Logan Lawrence, Grant Van Horn, Subhransu Maji:
Generate, Transduct, Adapt: Iterative Transduction with VLMs. - Ashley Andrews, George Oikonomou, Simon Armour, Paul Thomas, Thomas Cattermole:
IoT Firmware Version Identification Using Transfer Learning with Twin Neural Networks. - Cecilia Curreli, Dominik Muhle, Abhishek Saroha, Zhenzhang Ye, Riccardo Marin, Daniel Cremers:
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction. - Tsui Qin Mok, Shuyong Gao, Haozhe Xing, Miaoyang He, Yan Wang, Wenqiang Zhang:
A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection. - Bowei Zhang, Yi Zhang:
MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets. - Md Mizanur Rahaman Nayan, Ritik Raj, Shaik Gouse Basha, Tushar Krishna, Azad J. Naeemi:
Axon: A novel systolic array architecture for improved run time and energy efficient GeMM and Conv operation with on-chip im2col. - Andrew Lewis-Pye, Tim Roughgarden:
Beyond Optimal Fault Tolerance. - Paula Wulkop, Halil Umut Ozdemir, Antonia Hüfner, Jen Jen Chung, Roland Siegwart, Lionel Ott:
Learning Affordances from Interactive Exploration using an Object-level Map. - Shucong Zhang, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Benchmarking Rotary Position Embeddings for Automatic Speech Recognition. - Congxia Zhao, Xiongjun Fu, Jian Dong, Shen Cao, Chunyan Zhang:
Enhancing, Refining, and Fusing: Towards Robust Multi-Scale and Dense Ship Detection. - Kevin Fu, Pierce Howell, Shalin Jain, Harish Ravichandar:
Learning Flexible Heterogeneous Coordination with Capability-Aware Shared Hypernetworks. - Sarath Sivaprasad, Dmitry Kangin, Plamen Angelov, Mario Fritz:
COMIX: Compositional Explanations using Prototypes. - Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu, Guihai Chen:
Personalized Language Model Learning on Text Data Without User Identifiers. - Jiayi Huang, Sangwoo Park, Nicola Paoletti, Osvaldo Simeone:
Distilling Calibration via Conformalized Credal Inference. - Fangtian Zhong, Qin Hu, Yili Jiang, Jiaqi Huang, Xiuzhen Cheng:
Unveiling Malware Patterns: A Self-analysis Perspective. - Björn Rene Severitt, Yannick Sauer, Alexander Neugebauer, Rajat Agarwala, Nora Castner, Siegfried Wahl:
The interplay of user preference and precision in different gaze-based interaction methods. - Yossi Arjevani, Joan Bruna, Joe Kileel, Elzbieta Polak, Matthew Trager:
Geometry and Optimization of Shallow Polynomial Networks. - Mélissande Machefer, Michele Ronco, Anne-Claire Thomas, Michael Assouline, Melanie Rabier, Christina Corbane, Felix Rembold:
A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling. - Xiaofeng Xiao, Khawlah Alharbi, Pengyu Zhang, Hantang Qin, Xubo Yue:
Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing. - Pablo Barceló, Alexander Kozachinskiy, Miguel A. Romero Orth, Bernardo Subercaseaux, José Verschae:
Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations. - Yanfan Zhu, Isaac Lyngaas, Muralikrishnan Gopalakrishnan Meena, Mary Ellen Koran, Bradley A. Malin, Daniel Moyer, Shunxing Bao, Anuj J. Kapadia, Xiao Wang, Bennett A. Landman, Yuankai Huo:
Scale-up Unlearnable Examples Learning with High-Performance Computing. - Stefan Zetzsche, Jean-Baptiste Tristan, Tancrède Lepoint, Mikael Mayer:
Verifying the Fisher-Yates Shuffle Algorithm in Dafny. - Akhil S. Anand, Shambhuraj Sawant, Dirk Reinhardt, Sebastien Gros:
All AI Models are Wrong, but Some are Optimal. - Morteza Azmoudeh Afshar, Nesrine Benchoubane, Busra Cayoren, Gunes Karabulut Kurt, Enver Ozdemir:
Multi-layered Authentication and Key Management Scheme for Secure IoV. - Ioanna Mitropoulou, Amir Vaxman, Olga Diamanti, Benjamin Dillenburger:
Non-planar 3D Printing of Double Shells. - Yongqi Dong, Bart van Arem, Haneen Farah:
Towards Developing Socially Compliant Automated Vehicles: State of the Art, Experts Expectations, and A Conceptual Framework. - Hilal Esra Yaldiz, Özgür B. Akan:
Molecular Communication-Inspired Particle Collector-Transmitter (PaCoT) for Heavy Metal Removal from Human Circulatory System. - Mohammad Noorchenarboo, Katarina Grolinger:
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data. - Elham Aghakhani, Lu Wang, Karla T. Washington, George Demiris, Jina Huh-Yoo, Rezvaneh Rezapour:
From Conversation to Automation: Leveraging Large Language Models to Analyze Strategies in Problem Solving Therapy. - Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe:
Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation. - Dhrumil Bhatt, Siddharth Penumatsa, Nirbhay Singhal:
Weather-Driven Priority Charging for Battery Storage Systems in Hybrid Renewable Energy Grid. - S. D. M. de Jong, Andrea Brugnoli, Ramy Rashad, Yi Zhang, Stefano Stramigioli:
A domain decomposition strategy for natural imposition of mixed boundary conditions in port-Hamiltonian systems. - Vladimir Sovljanski, Mario Paolone, Sylvain Tant, Damien-Pierre Sainflou:
Optimizing Experiments for Accurate Battery Circuit Parameters Estimation: Reduction and Adjustment of Frequency Set Used in Electrochemical Impedance Spectroscopy. - Haochong Chen, Xincheng Cao, Levent Guvenç, Bilin Aksun Güvenç:
Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Methodology for Vulnerable Road User Safety. - Xincheng Cao, Haochong Chen, Bilin Aksun Güvenç, Levent Guvenç, Shihong Fan, John Harber, Brian Link, Peter Richmond, Dokyung Yim:
Development of an Advisory System for Parking of a Car and Trailer. - Fabian David Schmidt, Ivan Vulic, Goran Glavas, David Ifeoluwa Adelani:
Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding. - Karim Cherifi, Achraf El Messaoudi, Hannes Gernandt, Marco Roschkowski:
Nonlinear port-Hamiltonian system identification from input-state-output data. - Leonardo Delfino, Domenico Erriquez, Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search. - Hongming Chen, Biyu Ye, Xianqi Liang, Weiliang Deng, Ximin Lyu:
NDOB-Based Control of a UAV with Delta-Arm Considering Manipulator Dynamics. - Robert M. Corless:
Numerical methods for Chaotic ODE. - Chinmay Patwardhan, Pia Stammer, Emil Løvbak, Jonas Kusch, Sebastian Krumscheid:
Low-rank variance reduction for uncertain radiative transfer with control variates. - Neha Verma, Kenton Murray, Kevin Duh:
Merging Feed-Forward Sublayers for Compressed Transformers. - Nivedhitha Duggi, Masoud Rafiei, Mohsen Amini Salehi:
Benchmarking Different Application Types across Heterogeneous Cloud Compute Services. - Yuya Asano, Sabit Hassan, Paras Sharma, Anthony Sicilia, Katherine Atwell, Diane J. Litman, Malihe Alikhani:
Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI. - Allen George Philip, Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
A Mixed-Integer Conic Program for the Multi-Agent Moving-Target Traveling Salesman Problem. - Haichao Liu, Ruoyu Yao, Wenru Liu, Zhenmin Huang, Shaojie Shen, Jun Ma:
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems. - Manuel Cebrian, Emilia Gómez, David Fernández Llorca:
Supervision policies can shape long-term risk management in general-purpose AI models. - Arkaprava Sinha, Monish Soundar Raj, Pu Wang, Ahmed Helmy, Srijan Das:
MS-Temba : Multi-Scale Temporal Mamba for Efficient Temporal Action Detection. - Satchel Grant, Noah D. Goodman, James L. McClelland:
Emergent Symbol-like Number Variables in Artificial Neural Networks. - Caleb Shaw, Dmitriy Y. Anistratov:
Hybrid Weight Window Techniques for Time-Dependent Monte Carlo Neutronics. - Jun Yang, Nianyu Yi, Peimeng Yin:
A second-order dynamical low-rank mass-lumped finite element method for the Allen-Cahn equation. - Nikolai Lund Kühne, Jan Østergaard, Jesper Jensen, Zheng-Hua Tan:
xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement. - Julius Berner, Lorenz Richter, Marcin Sendera, Jarrid Rector-Brooks, Nikolay Malkin:
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training. - Maria Kazolea, Carlos Parés Madroñal, Mario Ricchiuto:
Approximate well-balanced WENO finite difference schemes using a global-flux quadrature method with multi-step ODE integrator weights. - Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Paliwal, Weili Nie, Arash Vahdat:
GenMol: A Drug Discovery Generalist with Discrete Diffusion. - Farzana Kabir, David Megías, Krzysztof Cabaj:
RIOT-based smart metering system for privacy-preserving data aggregation using watermarking and encryption. - Satchel Grant:
Model Alignment Search. - Ankush Chakrabarty, Gordon Wichern, Vedang M. Deshpande, Abraham P. Vinod, Karl Berntorp, Christopher R. Laughman:
Meta-Learning for Physically-Constrained Neural System Identification. - Junfei Xiao, Feng Cheng, Lu Qi, Liangke Gui, Jiepeng Cen, Zhibei Ma, Alan L. Yuille, Lu Jiang:
VideoAuteur: Towards Long Narrative Video Generation. - Fabio Banchelli, Marta Garcia-Gasulla, Filippo Mantovani:
Batched DGEMMs for scientific codes running on long vector architectures. - Natong Lin, Zelin Yun, Shengli Zhou, Song Han:
GR-WiFi: A GNU Radio based WiFi Platform with Single-User and Multi-User MIMO Capability. - Ubaidullah Khan, Raveen Wijewickrama, Buddhi Ashan M. K., A. H. M. Nazmus Sakib, Khoi Trinh, Christina Duthie, Nima Najafian, Ahmer Patel, R. N. Molina, Anindya Maiti, Sushil K. Prasad, Greg P. Griffin, Murtuza Jadliwala:
ScooterLab: A Programmable and Participatory Sensing Research Testbed using Micromobility Vehicles. - Yuxiang Guan, Iman Shames, Tyler H. Summers:
Best Response Convergence for Zero-sum Stochastic Dynamic Games with Partial and Asymmetric Information. - Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Chen, Lei Cui, Scarlett Li, Furu Wei:
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs. - Omkar Thawakar, Dinura Dissanayake, Ketan More, Ritesh Thawkar, Ahmed Heakl, Noor Ahsan, Yuhao Li, Mohammed Zumri, Jean Lahoud, Rao Muhammad Anwer, Hisham Cholakkal, Ivan Laptev, Mubarak Shah, Fahad Shahbaz Khan, Salman H. Khan:
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs. - Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace, Yuwei Fang, Kwot Sin Lee, Ivan Skorokhodov, Kfir Aberman, Jun-Yan Zhu, Ming-Hsuan Yang, Sergey Tulyakov:
Multi-subject Open-set Personalization in Video Generation. - Athina Bikaki, Ioannis A. Kakadiaris:
A Multimodal Social Agent. - Samaa Elnagar, Kweku-Muata Osei-Bryson:
Towards Applying Deep Learning to The Internet of Things: A Model and A Framework. - Jeet Singh:
A Computational Model of Learning and Memory Using Structurally Dynamic Cellular Automata. - Xingyu Xiao, Peng Chen, Ben Qi, Jingang Liang, Jiejuan Tong, Haitao Wang:
A Novel Task-Driven Method with Evolvable Interactive Agents Using Event Trees for Enhanced Emergency Decision Support. - Davoud Yousefi, Hassan Yari, Farzad Osouli, Mohammad Ebrahimi, Somayeh Esmalifalak, Morteza Johari, Abbas Azarnezhad, Fatemeh Sadeghi, Rogayeh Mirzapour:
Energy Efficient Computation Offloading and Virtual Connection Control in Uplink Small Cell Networks. - Yuanpeng He:
A Novel Method for Pignistic Information Fusion in the View of Z-number. - Murat Arda Onsu, Poonam Lohan, Burak Kantarci:
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles. - Satya Swaroop Gudipudi, Sreeram Vipparla, Harpreet Singh, Shashwat Goel, Ponnurangam Kumaraguru:
Enhancing AI Safety Through the Fusion of Low Rank Adapters. - Aziida Nanyonga, Keith F. Joiner, Ugur Turhan, Graham Wild:
Applications of natural language processing in aviation safety: A review and qualitative analysis. - Jiayu Guo, Yu Guo, Martha Li, Songtao Tan:
FLAME: Financial Large-Language Model Assessment and Metrics Evaluation. - Thomas Bashford-Rogers, Luís Paulo Santos:
Path Space Partitioning and Guided Image Sampling for MCMC. - Xinger Li, Zhiqiang Zhong, Bo Huang, Yang Yang:
Fitting Different Interactive Information: Joint Classification of Emotion and Intention. - Jan Hubicka, Linda Kimrová, Melichar Konecný:
Understanding colors of Dufaycolor: Can we recover them using historical colorimetric and spectral data? - Xin Ding, Shijie Cao, Ting Cao, Zhibo Chen:
Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models. - Phillip Maire, Samson G. King, Jonathan Andrew Cheung, Stefanie Walker, Samuel Andrew Hires:
WhACC: Whisker Automatic Contact Classifier with Expert Human-Level Performance. - Gent Wu:
Powerful Design of Small Vision Transformer on CIFAR10. - Chi-Sheng Chen, Ying-Jung Chen:
Optimizing Supply Chain Networks with the Power of Graph Neural Networks. - Pritisha Sarkar, Kushalava Reddy Jala, Mousumi Saha:
Can Explainable AI Assess Personalized Health Risks from Indoor Air Pollution? - Wen-Dong Jiang, Chih-Yung Chang, Diptendu Sinha Roy:
Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT. - Yangyang Li, Zhengya Qi, Yuelin Li, Haorui Yang, Ronghua Shang, Licheng Jiao:
A Distributed Hybrid Quantum Convolutional Neural Network for Medical Image Classification. - Norman Koch, Siavash Ghiasvand:
asanAI: In-Browser, No-Code, Offline-First Machine Learning Toolkit. - Arash Dehghani, Hossein Saberi:
Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools. - Subin Erattakulangara, Karthika Kelat, Katie Burnham, Rachel Balbi, Sarah E. Gerard, David Meyer, Sajan Goud Lingala:
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks. - Maxwell Meyer, Jack Spruyt:
BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation. - Siguo Bi, Jilong Zhang, Wei Ni:
Sustainable and Intelligent Public Facility Failure Management System Based on Large Language Models. - Biao Li, Qing-Kai Song, Wen-Gang Qi, Fu-Ping Gao:
An Interpretable ML-based Model for Predicting p-y Curves of Monopile Foundations in Sand. - Yingbin Chen, Milad Arzani, Xuan Mu, Sophia Jin, Shaoping Xiao:
Mechanics and Design of Metastructured Auxetic Patches with Bio-inspired Materials. - Gernot Heiser, Ivan Velickovic, Peter Chubb, Alwin Joshy, Anuraag Ganesh, Bill Nguyen, Cheng Li, Courtney Darville, Guangtao Zhu, James Archer, Jingyao Zhou, Krishnan Winter, Lucy Parker, Szymon Duchniewicz, Tianyi Bai:
Fast, Secure, Adaptable: LionsOS Design, Implementation and Performance. - Nirit Alkalay, Roy Orfaig, Ben-Zion Bobrovsky:
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation Data. - Adrien Bufort, Laurent Lebocq, Stefan Cathabard:
Data-Driven Radio Propagation Modeling using Graph Neural Networks. - Joaquín Delgado Fernández, Sergio Potenciano Menci, Alessio Magitteri:
Forecasting Anonymized Electricity Load Profiles. - Danhua Lei, Jochen Jankowai, Petar Hristov, Hamish A. Carr, Leif C. Denby, Talha Bin Masood, Ingrid Hotz:
Multi-field Visualization: Trait design and trait-induced merge trees. - Olga Sorokoletova, Emanuele Antonioni, Giordano Colò:
Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction. - Daoyuan Ye, Juntao Li, Yiting Shen:
The Convergence of Dynamic Routing between Capsules. - Philip Adzanoukpe:
Predicting House Rental Prices in Ghana Using Machine Learning. - Alireza Ebrahimi, Fatemeh Afghah:
Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks. - Andrea Muttoni, Jason Zhao:
Agent TCP/IP: An Agent-to-Agent Transaction System. - Zhiyong Yu, Yuning Jiang, Xin Liu, Yuanming Shi, Chunxiao Jiang, Linling Kuang:
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning. - Jia Peng Lim, Davin Choo, Hady W. Lauw:
A partition cover approach to tokenization. - Sina Moradi:
A Survey on Algorithmic Developments in Optimal Transport Problem with Applications. - Roberto-Rafael Maura-Rivero, Chirag Nagpal, Roma Patel, Francesco Visin:
Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models. - Mills Staylor, Amirreza Dolatpour Fathkouhi, Md. Khairul Islam, Kaleigh O'Hara, Ryan Ghiles Goudjil, Geoffrey Fox, Judy Fox:
Scalable Cosmic AI Inference using Cloud Serverless Computing with FMI. - Yunlong Tang, Junjia Guo, Pinxin Liu, Zhiyuan Wang, Hang Hua, Jia-Xing Zhong, Yunzhong Xiao, Chao Huang, Luchuan Song, Susan Liang, Yizhi Song, Liu He, Jing Bi, Mingqian Feng, Xinyang Li, Zeliang Zhang, Chenliang Xu:
Generative AI for Cel-Animation: A Survey. - Qi Sun, Edoardo Cetin, Yujin Tang:
Transformer-Squared: Self-adaptive LLMs. - Rech Leong Tian Poh, Sye Loong Keoh, Liying Li:
The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations. - Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo:
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words. - Daojun Liang, Haixia Zhang, Dongfeng Yuan:
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method. - Jelena Bratulic, Sudhanshu Mittal, Christian Rupprecht, Thomas Brox:
What Matters for In-Context Learning: A Balancing Act of Look-up and In-Weight Learning. - Mikhail Terekhov:
Contextual Bandit Optimization with Pre-Trained Neural Networks. - Farina Riaz, Fakhar Zaman, Hajime Suzuki, Sharif Abuadbba, David Nguyen:
Quantum Down Sampling Filter for Variational Auto-encoder. - Huaiguang Cai:
CAMs as Shapley Value-based Explainers. - Devendra Vyas, Miguel de Prado, Tim Verbelen:
Towards smart and adaptive agents for active sensing on edge devices. - Mohammad Amin Mirzaee, Hung-Jui Huang, Wenzhen Yuan:
GelBelt: A Vision-based Tactile Sensor for Continuous Sensing of Large Surfaces. - Anass Grini, Btissam El Khamlichi, Abdellatif El Afia, Amal El Fallah Seghrouchni:
HPAC-IDS: A Hierarchical Packet Attention Convolution for Intrusion Detection System. - Pavlos Sermpezis, Stelios Karamanidis, Eva Paraschou, Ilias Dimitriadis, Sofia Yfantidou, Filitsa-Ioanna Kouskouveli, Thanasis Troboukis, Kelly Kiki, Antonis Galanopoulos, Athena Vakali:
AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI. - Geoffrey Goodell:
Certifying Digitally Issued Diplomas. - Rui Shi, Nedret Billor, Elvan Ceyhan:
Cluster Catch Digraphs with the Nearest Neighbor Distance. - Omer Aydin, Enis Karaarslan:
OpenAI ChatGPT interprets Radiological Images: GPT-4 as a Medical Doctor for a Fast Check-Up. - Wentao Xu, Wenlu Fan, Shiqian Lu, Tenghao Li, Bin Wang:
Polarized Patterns of Language Toxicity and Sentiment of Debunking Posts on Social Media. - Shaozuo Zhang, Ambuj Mehrish, Yingting Li, Soujanya Poria:
PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control. - Jing Guo, Nan Li, Ming Xu:
Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain. - Zenon Lamprou, Frank Polick, Yashar Moshfeghi:
Aligning Brain Activity with Advanced Transformer Models: Exploring the Role of Punctuation in Semantic Processing. - Mahsa Geshvadi:
Visualizing Uncertainty in Image Guided Surgery a Review. - Sina Ahmadi:
Autonomous Identity-Based Threat Segmentation in Zero Trust Architectures. - Qian Chen, Yafeng Chen, Yanni Chen, Mengzhe Chen, Yingda Chen, Chong Deng, Zhihao Du, Ruize Gao, Changfeng Gao, Zhifu Gao, Yabin Li, Xiang Lv, Jiaqing Liu, Haoneng Luo, Bin Ma, Chongjia Ni, Xian Shi, Jialong Tang, Hui Wang, Hao Wang, Wen Wang, Yuxuan Wang, Yunlan Xu, Fan Yu, Zhijie Yan, Yexin Yang, Baosong Yang, Xian Yang, Guanrou Yang, Tianyu Zhao, Qinglin Zhang, Shiliang Zhang, Nan Zhao, Pei Zhang, Chong Zhang, Jinren Zhou:
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction. - Yue Chen Li, Stefan Zetzsche, Siva Somayyajula:
Dafny as Verification-Aware Intermediate Language for Code Generation. - Iman Barati, Arash Ghafouri, Behrouz Minaei-Bidgoli:
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks. - José Ramón Pareja Monturiol, Alejandro Pozas-Kerstjens, David Pérez-García:
Tensorization of neural networks for improved privacy and interpretability. - Nafiseh Soveizi, Dimka Karastoyanova:
Reinforcement Learning-Driven Adaptation Chains: A Robust Framework for Multi-Cloud Workflow Security. - Chao Zhang, Yechen Li, Neha Arora, Carolina Osorio:
On How Traffic Signals Impact the Fundamental Diagrams of Urban Roads. - Alexis Bose, Jonathan Ethier, Ryan Dempsey, Yifeng Qiu:
Uncertainty Estimation for Path Loss and Radio Metric Models. - Kwadwo Asante, Yaw Marfo Missah, Frimpong Twum, Michael Asante:
Network-centric optimal hybrid sensing hole recovery and self-healing in IPV6 WSNs. - Juan E. Tapia, Lázaro Janier González-Soler, Christoph Busch:
Towards Iris Presentation Attack Detection with Foundation Models. - Nikita Mehandru, Amanda K. Hall, Olesya Melnichenko, Yulia Dubinina, Daniel Tsirulnikov, David Bamman, Ahmed M. Alaa, T. Scott Saponas, Venkat S. Malladi:
BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems. - Roberto Murcio, Balamurugan Soundararaj:
Trends in urban flows: A transfer entropy approach. - Ho Yin Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao Kenneth Huang:
Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. - Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, Quoc-Viet Pham, Barry O'Sullivan, Hoang D. Nguyen:
Multi-Agent Collaboration Mechanisms: A Survey of LLMs. - Zenon Lamprou, Yashar Moshfeghi:
On Creating A Brain-To-Text Decoder. - Arthur Bawin, André Garon, Jean-François Remacle:
Isometric simplices for high-order anisotropic mesh adaptation. Part I: Definition and existence of isometric triangulations. - Evelyn Trautmann, Ian Hales, Martin F. Volk:
Aggregating Low Rank Adapters in Federated Fine-tuning. - Saba Asaad, Ping Wang, Hina Tabassum:
Over-the-Air FEEL with Integrated Sensing: Joint Scheduling and Beamforming Design. - Carlos Andrés Elorza Casas, Luis A. Ricardez-Sandoval, Joshua L. Pulsipher:
A Comparison of Strategies to Embed Physics-Informed Neural Networks in Nonlinear Model Predictive Control Formulations Solved via Direct Transcription. - Mohammad Asim, Christopher Wewer, Thomas Wimmer, Bernt Schiele, Jan Eric Lenssen:
MEt3R: Measuring Multi-View Consistency in Generated Images. - Thanh Nguyen-Tang, Raman Arora:
On The Statistical Complexity of Offline Decision-Making. - Jannik Brinkmann, Chris Wendler, Christian Bartelt, Aaron Mueller:
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages. - Ruchira Ray, Leona Pang, Sanjana Srivastava, Li Fei-Fei, Samantha Shorey, Roberto Martín-Martín:
Why Automate This? Exploring the Connection between Time Use, Well-being and Robot Automation Across Social Groups. - Navin Ranjan, Andreas E. Savakis:
Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity. - Yuanna Liu, Ming Li, Mohammad Aliannejadi, Maarten de Rijke:
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation. - Giuseppe Serra, Photios A. Stavrou, Marios Kountouris:
On the Rate-Distortion-Perception Function for Gaussian Processes. - Elizabeth Schaefer, Kirk Roberts:
Gender-Neutral Large Language Models for Medical Applications: Reducing Bias in PubMed Abstracts. - Hassan Nassar, Ming-Liang Wei, Chia-Lin Yang, Jörg Henkel, Kuan-Hsun Chen:
Resilient Endurance-Aware NVM-based PUF against Learning-based Attacks. - Kunpeng Xu, Lifei Chen, Shengrui Wang:
Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach. - Wietse M. Boon, Xiaozhe Hu, Xue Wang:
Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators. - Juan Manuel Baldonado, Flavia Bonomo-Braberman, Víctor A. Braberman:
Towards a Probabilistic Framework for Analyzing and Improving LLM-Enabled Software. - Jesujoba O. Alabi, Israel Abebe Azime, Miaoran Zhang, Cristina España-Bonet, Rachel Bawden, Dawei Zhu, David Ifeoluwa Adelani, Clement Odoje, Idris Akinade, Iffat Maab, Davis David, Shamsuddeen Hassan Muhammad, Neo Putini, David O. Ademuyiwa, Andrew Caines, Dietrich Klakow:
AFRIDOC-MT: Document-level MT Corpus for African Languages. - Filippo Lazzati, Alberto Maria Metelli:
On the Partial Identifiability in Reward Learning: Choosing the Best Reward. - Mumin Jia, Jairo Diaz Rodriguez:
Dynamics of "Spontaneous" Topic Changes in Next Token Prediction with Self-Attention. - Malcolm Wolff, Shenghao Yang, Kari Torkkola, Michael W. Mahoney:
Using Pre-trained LLMs for Multivariate Time Series Forecasting. - Joseph Hunter, Eirik Endeve, M. Paul Laiu, Yulong Xing:
Realizability-Preserving Discontinuous Galerkin Method for Spectral Two-Moment Radiation Transport in Special Relativity. - Maciej Krzywda, Mariusz Werminski, Szymon Lukasik, Amir H. Gandomi:
Kolmogorov-Arnold networks for metal surface defect classification. - Zhengyan Sheng, Zhihao Du, Heng Lu, Shiliang Zhang, Zhen-Hua Ling:
Unispeaker: A Unified Approach for Multimodality-driven Speaker Generation. - Matyas Bohacek, Hany Farid:
Has an AI model been trained on your images? - Yifei Zong, Alexandre M. Tartakovsky:
Mathematics of Digital Twins and Transfer Learning for PDE Models. - Yutian Tang, Xiaojiang Du:
A Comparative Study of Full Apps and Lite Apps for Android. - Bing Gao, Ran Gu, Shigui Ma:
Convergence analysis of Wirtinger Flow for Poisson phase retrieval. - Youbing Hu, Yun Cheng, Olga Saukh, Firat Ozdemir, Anqi Lu, Zhiqiang Cao, Zhijun Li:
FocusDD: Real-World Scene Infusion for Robust Dataset Distillation. - Geng Sun, Weilong Ma, Jiahui Li, Zemin Sun, Jiacheng Wang, Dusit Niyato, Shiwen Mao:
Task Delay and Energy Consumption Minimization for Low-altitude MEC via Evolutionary Multi-objective Deep Reinforcement Learning. - Stephane Hatgis-Kessell, W. Bradley Knox, Serena Booth, Scott Niekum, Peter Stone:
Influencing Humans to Conform to Preference Models for RLHF. - Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan Kulkarni, Thomas Rothvoss, Sivakanth Gopi:
DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory. - Kenta Manoku, Jianjun Zhao:
Unveiling Code Clones in Quantum Programming: An Empirical Study with Qiskit. - Xiaoxin Yin:
AlgoPilot: Fully Autonomous Program Synthesis Without Human-Written Programs. - Matheus de Morais Leça, Ronnie de Souza Santos:
Towards User-Focused Cross-Domain Testing: Disentangling Accessibility, Usability, and Fairness. - Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao:
Tensor Product Attention Is All You Need. - Anuj Tyagi:
Optimizing digital experiences with content delivery networks: Architectures, performance strategies, and future trends. - Yaopei Zeng, Lei Liu, Shaoguo Liu, Hongjian Dou, Baoyuan Wu, Li Liu:
Reliable Imputed-Sample Assisted Vertical Federated Learning. - Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue:
Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs. - Aditya Rauniyar, Omar Alama, Silong Yong, Katia P. Sycara, Sebastian A. Scherer:
Aug3D: Augmenting large scale outdoor datasets for Generalizable Novel View Synthesis. - Hojjat Salehinejad, Ricky Rojas, Kingsley Iheasirim, Mohammed Yousufuddin, Bijan Borah:
Deep Learning on Hester Davis Scores for Inpatient Fall Prediction. - Ashok Choudhary, Cornelius A. Thiels, Hojjat Salehinejad:
Synthetic Feature Augmentation Improves Generalization Performance of Language Models. - Yi Wang, Yang Yue, Wei Wang, Gaowei Zhang:
Uncovering Non-native Speakers' Experiences in Global Software Development Teams - A Bourdieusian Perspective. - Maomao Li, Lijian Lin, Yunfei Liu, Ye Zhu, Yu Li:
Qffusion: Controllable Portrait Video Editing via Quadrant-Grid Attention Learning. - Yijie Li, Hewei Wang, Shaofan Wang, Yee Hui Lee, Muhammad Salman Pathan, Soumyabrata Dev:
UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation. - Yijie Li, Hewei Wang, Aggelos K. Katsaggelos:
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement. - Eui-Soo Jung, Hae-Hun Seo, Hyun-Woo Jung, Je-Geon Oh, Yoon-Yeong Kim:
ARES: Auxiliary Range Expansion for Outlier Synthesis. - Neilson Carlos Leite Ramalho, Érico Augusto da Silva, Higor Amario de Souza, Marcos Lordello Chaim:
Quantum Testing in the Wild: A Case Study with Qiskit Algorithms. - Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Wei Wang, Jiahao Zhang:
On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective. - Zegeye Mekasha Kidane, Waltenegus Dargie:
Cross-Technology Interference: Detection, Avoidance, and Coexistence Mechanisms in the ISM Bands. - Ziteng Cui, Lin Gu, Tatsuya Harada:
Discovering an Image-Adaptive Coordinate System for Photography Processing. - Dekel Tsur:
Faster parameterized algorithm for 3-Hitting Set. - Surjo Dey, Ankit Sharma, Hritu Raj, Susham Biswas:
Automated Detection and Analysis of Minor Deformations in Flat Walls Due to Railway Vibrations Using LiDAR and Machine Learning. - Zhongzhen Huang, Gui Geng, Shengyi Hua, Zhen Huang, Haoyang Zou, Shaoting Zhang, Pengfei Liu, Xiaofan Zhang:
O1 Replication Journey - Part 3: Inference-time Scaling for Medical Reasoning. - Hao Song, Teng Li, Jiachi Chen, Ting Chen, Beibei Li, Zhangyan Lin, Yi Lu, Pan Li, Xihan Zhou:
Enhancing The Open Network: Definition and Automated Detection of Smart Contract Defects. - Francisco Olivos, Tobias Kamelski, Sebastián Ascui-Gac:
Assessing instructor-AI cooperation for grading essay-type questions in an introductory sociology course. - Yangning Li, Hui Kang, Jiahui Li, Geng Sun, Zemin Sun, Jiacheng Wang, Changyuan Zhao, Dusit Niyato:
A Correlated Data-Driven Collaborative Beamforming Approach for Energy-efficient IoT Data Transmission. - Ye Chen, Dongdong Huang, Haoyun Xu, Cong Fu, Lin Sheng, Qingli Zhou, Yuqiang Shen, Kai Wang:
MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare. - Rui Liu, Zhenqi Jia, Feilong Bao, Haizhou Li:
Retrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech Synthesis. - Tingwei Chen, Jiayi Chen, Zijian Zhao, Haolong Chen, Liang Zhang, Guangxu Zhu:
First Token Probability Guided RAG for Telecom Question Answering. - Zhen Hong, Bowen Wang, Haoran Duan, Yawen Huang, Xiong Li, Zhenyu Wen, Xiang Wu, Wei Xiang, Yefeng Zheng:
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors. - Wilson Wei, Nicholas Chen, Yuxuan Li:
The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence. - Yuan Lai, Zhiwei Shi, Chengxi Zhu:
YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention. - Mehrshad Saadatinia, Minoo Ahmadi, Armin Abdollahi:
Enhancing Multi-Modal Video Sentiment Classification Through Semi-Supervised Clustering. - Md Shahriar Kabir, Khalid Mahmud Niloy, Sumaiya Afrose:
Evaluation of High-Speed Universal Shift Register with 4-bit ALU. - Zhendong Zhang:
Flash Window Attention: speedup the attention computation for Swin Transformer. - Xiaoying Xing, Avinab Saha, Junfeng He, Susan Hao, Paul Vicol, Moonkyung Ryu, Gang Li, Sahil Singla, Sarah Young, Yinxiao Li, Feng Yang, Deepak Ramachandran:
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation. - En Xu, Can Rong, Jingtao Ding, Yong Li:
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History. - Qiang Qu, Yiran Shen, Xiaoming Chen, Yuk Ying Chung, Tom Weidong Cai, Tongliang Liu:
NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes without References. - Aziida Nanyonga, Hassan Wasswa, Ugur Turhan, Oleksandra Molloy, Graham Wild:
Sequential Classification of Aviation Safety Occurrences with Natural Language Processing. - Barak Or:
Improving Requirements Classification with SMOTE-Tomek Preprocessing. - Zahra Bami, Ali Behnampour, Hassan Doosti:
A New Flexible Train-Test Split Algorithm, an approach for choosing among the Hold-out, K-fold cross-validation, and Hold-out iteration. - Weiliang Deng, Hongming Chen, Biyu Ye, Haoran Chen, Ximin Lyu:
Whole-Body Integrated Motion Planning for Aerial Manipulators. - Gerrit Mutschlechner, Adam Jatowt:
Analyzing the Role of Context in Forecasting with Large Language Models. - Tushar Aggarwal, Aarohi Bhand:
PASS: Presentation Automation for Slide Generation and Speech. - Matin Fallahi, Ragini Ramesh, Pankaja Priya Ramasamy, Patricia Arias Cabarcos, Thorsten Strufe, Philipp Terhörst:
On the Reliability of Biometric Datasets: How Much Test Data Ensures Reliability? - Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev:
Online Algorithm for Aggregating Experts' Predictions with Unbounded Quadratic Loss. - Yasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui:
Resource Allocation under the Latin Square Constraint. - Dongdong Li, Jiuxiang Dong:
Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks and Analysis. - Yuankun Xie, Xiaopeng Wang, Zhiyong Wang, Ruibo Fu, Zhengqi Wen, Songjun Cao, Long Ma, Chenxing Li, Haonan Cheng, Long Ye:
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition. - Artem Chystiakov, Kyrylo Riabov:
ZK Secret Santa. - Gholamreza Aghamollaei, Mahdiyeh Mortezaei, Dijana Mosic, Néstor Thome:
Some results on core EP Drazin matrices and partial isometries. - Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu:
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering. - Sonja M. Hyrynsalmi, Grischa Liebel, Ronnie de Souza Santos, Sebastian Baltes:
Not real or too soft? On the challenges of publishing interdisciplinary software engineering research. - Wulin Xie, Lian Zhao, Jiang Long, Xiaohuan Lu, Bingyan Nie:
Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification. - Manzoor Ahmed, Ali Arshad Nasir, Mudassir Masood, Kamran Ali Memon, Khurram Karim Qureshi, Feroz Khan, Wali Ullah Khan, Fang Xu, Zhu Han:
Advancements in UAV-based Integrated Sensing and Communication: A Comprehensive Survey. - Nicole C. Wang:
Scaffolding Creativity: Integrating Generative AI Tools and Real-world Experiences in Business Education. - Gaurav Singh Bhati, Arukonda Vaishnavi, Anoop Jain:
Safe Circumnavigation of a Hostile Target Using Range-Based Measurements. - Srivatsan Sridhar, Alberto Sonnino, Lefteris Kokoris-Kogias:
Stingray: Fast Concurrent Transactions Without Consensus. - Wenshu Fan, Minxing Zhang, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Xiangyu Yue, Michael Backes, Xiao Zhang:
DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy. - Adam Nohejl, Taro Watanabe:
Dispersion Measures as Predictors of Lexical Decision Time, Word Familiarity, and Lexical Complexity. - Gonzalo Romera, Jon Asier Bárcena-Petisco:
A theoretical analysis on the resolution of parametric PDEs via neural networks designed with Strassen algorithm. - Chong Zhong, Yang Li, Jinfeng Xu, Xiang Fu, Yunhao Liu, Qiuyi Huang, Danjuan Yang, Meiyan Li, Aiyi Liu, Alan H. Welsh, Xingtao Zhou, Bo Fu, Catherine C. Liu:
CeViT: Copula-Enhanced Vision Transformer in multi-task learning and bi-group image covariates with an application to myopia screening. - Ngoc M. Ngo, Trung T. Nguyen, Phuc H. Nguyen, Van-Dinh Nguyen:
Energy-Aware Resource Allocation for Energy Harvesting Powered Wireless Sensor Nodes. - Jiahui Tang, Kaihua Zhou, Zhijian Luo, Yueen Hou:
Natural Language Supervision for Low-light Image Enhancement. - Yiheng Li, Yang Yang, Zhen Lei:
CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object Detection. - Xianwei Zhuang, Zhihong Zhu, Yuxin Xie, Liming Liang, Yuexian Zou:
VASparse: Towards Efficient Visual Hallucination Mitigation for Large Vision-Language Model via Visual-Aware Sparsification. - Liyuan Hu:
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems. - Marco Giordano, Claudia Rinaldi:
A Survey on Spoken Italian Datasets and Corpora. - Zongyuan Huang, Weipeng Wang, Shaoyu Huang, Marta C. González, Yaohui Jin, Yanyan Xu:
Where to Go Next Day: Multi-scale Spatial-Temporal Decoupled Model for Mid-term Human Mobility Prediction. - Aziida Nanyonga, Hassan Wasswa, Oleksandra Molloy, Ugur Turhan, Graham Wild:
Natural Language Processing and Deep Learning Models to Classify Phase of Flight in Aviation Safety Occurrences. - Muqing Cao, Thien-Minh Nguyen, Shenghai Yuan, Andreas Anastasiou, Angelos Zacharia, Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou, Marios M. Polycarpou, Xinhang Xu, Mingjie Zhang, Fei Gao, Boyu Zhou, Ben M. Chen, Lihua Xie:
Cooperative Aerial Robot Inspection Challenge: A Benchmark for Heterogeneous Multi-UAV Planning and Lessons Learned. - Dingheng Mo, Junfeng Liu, Fan Wang, Siqiang Luo:
Aster: Enhancing LSM-structures for Scalable Graph Database. - Ebenezer R. H. P. Isaac, Joseph H. R. Isaac:
Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks. - Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong:
Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects. - Hao Fu, William H. K. Lam, Wei Ma, Yuxin Shi, Rui Jiang, Huijun Sun, Ziyou Gao:
Modeling the residual queue and queue-dependent capacity in a static traffic assignment problem. - Kyle Burke, Craig Tennenhouse:
Col is PSPACE-complete on Triangular Grids. - Ali Amini:
Transforming Social Science Research with Transfer Learning: Social Science Survey Data Integration with AI. - Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Petr Novotný, Dorde Zikelic:
Refuting Equivalence in Probabilistic Programs with Conditioning. - Alessandro Hill, Kalen Goo, Puneet Agarwal:
Recommending the right academic programs: An interest mining approach using BERTopic. - Steven H. Wang, Maksim Zubkov, Kexin Fan, Sarah Harrell, Yuyang Sun, Wei Chen, Andreas Plesner, Roger Wattenhofer:
ACORD: An Expert-Annotated Retrieval Dataset for Legal Contract Drafting. - Koji Aoshima, Eddie Wadbro, Martin Servin:
Optimizing wheel loader performance: an end-to-end approach. - Chunjing Xiao, Xue Jiang, Xianghe Du, Wei Yang, Wei Lu, Xiaomin Wang, Kevin Chetty:
Boundary-enhanced time series data imputation with long-term dependency diffusion models. - Vincent Cohen-Addad, Andrew Draganov, Matteo Russo, David Saulpic, Chris Schwiegelshohn:
A Tight VC-Dimension Analysis of Clustering Coresets with Applications. - Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao:
Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping. - Xiangru Tang, Tianyu Hu, Muyang Ye, Yanjun Shao, Xunjian Yin, Siru Ouyang, Wangchunshu Zhou, Pan Lu, Zhuosheng Zhang, Yilun Zhao, Arman Cohan, Mark Gerstein:
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning. - Narges Rashvand, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Shanle Yao, Hamed Tabkhi:
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark. - Shireesh Reddy Pyreddy, Tarannum Shaila Zaman:
EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses. - Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Wanxiang Che, Zhiyuan Liu, Maosong Sun:
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation. - Antara Firoz Parsa, S. M. Abdullah, Anika Hasan Talukder, Md. Asif Shahidullah Kabbya, Shakib Al Hasan, Md. Farhadul Islam, Jannatun Noor:
A Comparative Performance Analysis of Classification and Segmentation Models on Bangladeshi Pothole Dataset. - Yilang Zhang, Bingcong Li, Georgios B. Giannakis:
Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm. - Xuanhao Luo, Zhizhen Li, Zhiyuan Peng, Mingzhe Chen, Yuchen Liu:
Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks. - Zixuan Chen, Jing Huo, Yangtao Chen, Yang Gao:
RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation. - Nicholas Davis, Janet Rafner:
AI Drawing Partner: Co-Creative Drawing Agent and Research Platform to Model Co-Creation. - Anyin Zhao, Zuquan Chen, Zhengyu Fang, Xiaoge Zhang, Jing Li:
Dual-Modality Representation Learning for Molecular Property Prediction. - Dexuan Xie, Liam Jemison, Yi Jiang:
A Nonlocal size modified Poisson-Boltzmann Model and Its Finite Element Solver for Protein in Multi-Species Ionic Solution. - Ye Tao, Anand D. Sarwate:
Differentially Private Distribution Estimation Using Functional Approximation. - Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth, Alexey Voronin:
Generalized Optimal AMG Convergence Theory for Stokes Equations Using Smooth Aggregation and Vanka Relaxation Strategies. - Amr Almorsi, Mohanned Ahmed, Walid Gomaa:
Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks. - Mohammed Maree:
Quantifying Relational Exploration in Cultural Heritage Knowledge Graphs with LLMs: A Neuro-Symbolic Approach. - Aayushman Sharma, Suman Chakravorty:
A Reduced Order Iterative Linear Quadratic Regulator (ILQR) Technique for the Optimal Control of Nonlinear Partial Differential Equations. - Emiel van Miltenburg:
Dual use issues in the field of Natural Language Generation. - Pablo Fondo-Ferreiro, Cristina López-Bravo, Francisco Javier González-Castaño, Felipe J. Gil-Castiñeira, David Candal-Ventureira:
Learning-based visibility prediction for terahertz communications in 6G networks. - Veronika Smilga:
Scaling Down Semantic Leakage: Investigating Associative Bias in Smaller Language Models. - Jorge Ocampo-Jiménez, Wael Suleiman:
Enhancing Path Planning Performance through Image Representation Learning of High-Dimensional Configuration Spaces. - Larry A. Dunning:
A Permutation-Free Length 3 Decimal Check Digit Code. - Hugo Latapie:
Common Sense Is All You Need. - Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp:
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. - Hritvik Taneja, Moinuddin Qureshi:
RogueRFM: Attacking Refresh Management for Covert-Channel and Denial-of-Service. - Ruizhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong:
TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges. - Phillip Rieger, Alessandro Pegoraro, Kavita Kumari, Tigist Abera, Jonathan Knauer, Ahmad-Reza Sadeghi:
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning. - Crespo-Orti Luis, Moreno-Cuadrado Isabel, Olivares-Martínez Pablo, Sanz-Tornero Ximo:
Parking Space Detection in the City of Granada. - Mengyu Zhao, Shirin Jalali:
Theoretical Characterization of Effect of Masks in Snapshot Compressive Imaging. - Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song:
Personalized Preference Fine-tuning of Diffusion Models. - Vladimir Batagelj:
OpenAlex2Pajek - an R Package for converting OpenAlex bibliographic data into Pajek networks. - Sanjit Kakarla, Conrad Borchers, Danielle Thomas, Shambhavi Bhushan, Kenneth R. Koedinger:
Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training. - Yiming Lin, Mawil Hasan, Rohan Kosalge, Alvin Cheung, Aditya G. Parameswaran:
TWIX: Automatically Reconstructing Structured Data from Templatized Documents. - Hengyuan Zhang, David Paz, Yuliang Guo, Xinyu Huang, Henrik I. Christensen, Liu Ren:
MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis. - Pinak Mandal, Georg A. Gottwald:
Learning dynamical systems with hit-and-run random feature maps. - Jiayi Tian, Jinming Lu, Hai Li, Xiangwei Wang, Cong Hao, Ian A. Young, Zheng Zhang:
Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization. - John Bradshaw, Anji Zhang, Babak A. Mahjour, David E. Graff, Marwin H. S. Segler, Connor W. Coley:
Challenging reaction prediction models to generalize to novel chemistry. - Zilong Xu, Zihao Wang, He Li, Dingli Yu, Zaili Yang, Jin Wang:
A Geometric Analysis-Based Safety Assessment Framework for MASS Route Decision-Making in Restricted Waters. - Erjian Guo, Zicheng Wang, Zhen Zhao, Luping Zhou:
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels. - Arash Baharvandi, Duong Tung Nguyen:
Coordinated Deliverable Energy Flexibility from EV Aggregators in Distribution Networks. - Haoxiang Gao, Yu Zhao:
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving. - Xiangen Hu, Sheng Xu, Richard Tong, Art Graesser:
Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning. - Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini:
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights. - Sanghyun Hong, Fan Wu, Anthony Gruber, Kookjin Lee:
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations. - Zhuoyi Zhao, Igor Kadota:
Optimizing Age of Information without Knowing the Age of Information. - Wenxin Luo, Weirui Wang, Xiaopeng Li, Weibo Zhou, Pengyue Jia, Xiangyu Zhao:
TAPO: Task-Referenced Adaptation for Prompt Optimization. - Zhonghao Yan, Zijin Yin, Tianyu Lin, Xiangzhu Zeng, Kongming Liang, Zhanyu Ma:
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation. - Ziyang Xie, Zhizheng Liu, Zhenghao Peng, Wayne Wu, Bolei Zhou:
Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation. - Zheng Zhang, Yihuai Lan, Yangsen Chen, Lei Wang, Xiang Wang, Hao Wang:
DVM: Towards Controllable LLM Agents in Social Deduction Games. - Peng Liu, Sen Lei, Heng-Chao Li:
Mamba-MOC: A Multicategory Remote Object Counting via State Space Model. - Tangyao Li, Qiyuan Zhan, Yitong Zhu, Bojing Hou, Yuyang Wang:
A comparative study of sensory encoding models for human navigation in virtual reality. - Aidan Hogan, Xin Luna Dong, Denny Vrandecic, Gerhard Weikum:
Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions. - Kun Yang, Jing Yang, Cong Shen:
Average Reward Reinforcement Learning for Wireless Radio Resource Management. - Jie Yang, Ehsan Latif, Yuze He, Xiaoming Zhai:
Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese. - Qin Zhang, Mohsen Heidari:
Quantum Data Sketches. - Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan:
AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. - Rupert Lane, Anthony Hay, Arthur Schwarz, David M. Berry, Jeff Shrager:
ELIZA Reanimated: The world's first chatbot restored on the world's first time sharing system. - Tzu-Heng Huang, Manjot Bilkhu, Frederic Sala, Javier R. Movellan:
Evaluating Sample Utility for Data Selection by Mimicking Model Weights. - Liu Qianli, Zicong Hong, Fahao Chen, Peng Li, Song Guo:
Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management. - Ming Dai, Jian Li, Jiedong Zhuang, Xian Zhang, Wankou Yang:
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints. - Tianyu Fan, Jingyuan Wang, Xubin Ren, Chao Huang:
MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation. - Yuxin Wang, Qianyi Wu, Dan Xu:
F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Consistent Gaussian Splatting. - Mykyta Syromiatnikov, Victoria Ruvinskaya, Anastasiya Troynina:
ZNO-Eval: Benchmarking reasoning capabilities of large language models in Ukrainian. - Farid Zakaria, Andrew Quinn, Thomas R. W. Scogland:
Symbol Resolution MatRs: Make it Fast and Observable with Stable Linking. - Xingshuai Huang, Di Wu, Benoit Boulet:
DRDT3: Diffusion-Refined Decision Test-Time Training Model. - Jingzhan Ge, Zi-Hao Zhang, Sheng-En Huang:
Hierarchical Sampling-based Planner with LTL Constraints and Text Prompting. - Ashitha Mudraje, Brian B. Moser, Stanislav Frolov, Andreas Dengel:
Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution. - Mehrdad Rafiepour, S. Mehdi Vahidipour:
On the effect of the average clustering coefficient on topology-based link prediction in featureless graphs. - Zhiyan Liu, Xu Chen, Hai Wu, Zhanwei Wang, Xianhao Chen, Dusit Niyato, Kaibin Huang:
Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G. - Justin Vasselli, Adam Nohejl, Taro Watanabe:
Measuring the Robustness of Reference-Free Dialogue Evaluation Systems. - Ankit Gangwal, Mauro Conti, Tommaso Pauselli:
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks. - Edouardo Honig, Andrew Lizarraga, Zijun Frank Zhang, Ying Nian Wu:
Better Prompt Compression Without Multi-Layer Perceptrons. - Noga Bar, Raja Giryes:
ZOQO: Zero-Order Quantized Optimization. - Sharif Ahmed, Nasir U. Eisty:
Hold On! Is My Feedback Useful? Evaluating the Usefulness of Code Review Comments. - Samia Mehnaz, Md. Touhidul Islam:
Rice Leaf Disease Detection: A Comparative Study Between CNN, Transformer and Non-neural Network Architectures. - Shunfan Zheng, Xiechi Zhang, Gerard de Melo, Xiaoling Wang, Linlin Wang:
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation. - Yongjian Fu, Ke Sun, Ruyao Wang, Xinyi Li, Ju Ren, Yaoxue Zhang, Xinyu Zhang:
Enabling Cardiac Monitoring using In-ear Ballistocardiogram on COTS Wireless Earbuds. - Alireza Daneshyar, Dorina Siebert, Christina Radlbeck, Stefan Kollmannsberger:
A plastic damage model with mixed isotropic-kinematic hardening for low-cycle fatigue in 7020 aluminum. - Junlong Ren, Gangjian Zhang, Haifeng Sun, Hao Wang:
Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding. - Alireza Daneshyar, Stefan Kollmannsberger:
Full-waveform inversion via the scaled boundary finite element method. - Zhenyang Feng, Zihe Wang, Saul Ibaven Bueno, Tomasz Frelek, Advikaa Ramesh, Jingyan Bai, Lemeng Wang, Zanming Huang, Jianyang Gu, Jinsu Yoo, Tai-Yu Pan, Arpita Chowdhury, Michelle Ramirez, Elizabeth G. Campolongo, Matthew J. Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj Karpatne, Daniel I. Rubenstein, Hilmar Lapp, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao:
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation. - Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov:
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models. - Ziming Wang, Changwu Huang, Ke Tang, Xin Yao:
Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning. - Changyuan Zhao, Guangyuan Liu, Bin Xiang, Dusit Niyato, Benoit Delinchant, Hongyang Du, Dong In Kim:
Generative AI Enabled Robust Sensor Placement in Cyber-Physical Power Systems: A Graph Diffusion Approach. - Pascal Jansen, Mark Colley, Svenja Krauss, Daniel Hirschle, Enrico Rukzio:
OptiCarVis: Improving Automated Vehicle Functionality Visualizations Using Bayesian Optimization to Enhance User Experience. - Silvia Palmucci, Andrea Abrardo, Davide Dardari, Alberto Toccafondi, Marco Di Renzo:
Metaprism Design for Wireless Communications: Angle-Frequency Analysis, Physical Realizability Constraints, and Performance Optimization. - Ji Soo Lee, Jongha Kim, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim:
VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning. - Kaiying Yan, Moyang Liu, Yukun Liu, Ruibo Fu, Zhengqi Wen, Jianhua Tao, Xuefei Liu, Guanjun Li:
MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection. - Marco Calautti, Enrico Malizia, Cristian Molinaro:
On the Complexity of Global Necessary Reasons to Explain Classification. - Seohyun Lee, Jintae Park, Sanghyeok Park:
ODPG: Outfitting Diffusion with Pose Guided Condition. - Peng Zheng, Linzhi Huang, Yizhou Yu, Yi Chang, Yilin Wang, Rui Ma:
SuperNeRF-GAN: A Universal 3D-Consistent Super-Resolution Framework for Efficient and Enhanced 3D-Aware Image Synthesis. - Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian:
Pareto Set Learning for Multi-Objective Reinforcement Learning. - Jihoon Park, Jeongin Choe, Dohyun Kim, Jae-Joon Kim:
COMPASS: A Compiler Framework for Resource-Constrained Crossbar-Array Based In-Memory Deep Learning Accelerators. - Shaw Walters, Sam Gao, Shakker Nerd, Feng Da, Warren Williams, Ting-Chien Meng, Amie Chow, Hunter Han, Frank He, Allen Zhang, Ming Wu, Timothy Shen, Maxwell Hu, Jerry Yan:
Eliza: A Web3 friendly AI Agent Operating System. - Tianyi Huang, Richard Xiong:
Cost-Effective Robotic Handwriting System with AI Integration. - Mahmoud Ahmed, Xiang Li, Arpit Prajapati, Mohamed Elhoseiny:
3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes. - Zihao Mei, Jianhao Li, Bolin Zhang, Chong Wang, Lijun Guo, Guoqi Li, Jiangbo Qian:
Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT. - Aafaf Ridouan, Amine Bohi, Youssef Mourchid:
Improving Pain Classification using Spatio-Temporal Deep Learning Approaches with Facial Expressions. - Dominik Krupke, Ahmad Moradi, Michael Perk, Phillip Keldenich, Gabriel Gehrke, Sebastian Krieter, Thomas Thüm, Sándor P. Fekete:
How Low Can We Go? Minimizing Interaction Samples for Configurable Systems. - Jialong Chen, Jimin Wang, Ji-Feng Zhang:
Differentially Private Gradient-Tracking-Based Distributed Stochastic Optimization over Directed Graphs. - Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou:
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences. - Hasan Can Yildirim, Musa Furkan Keskin, Henk Wymeersch, François Horlin:
OFDM-based JCAS under Attack: The Dual Threat of Spoofing and Jamming in WLAN Sensing. - Hadi Hosseini, Aditi Sethia:
Equitable Allocations of Mixtures of Goods and Chores. - Ruiying Cao, Xin Chen:
Optimizing Sequencing Coverage Depth in DNA Storage: Insights From DNA Storage Data. - Jun Wan:
Unifying Two Types of Scaling Laws from the Perspective of Conditional Kolmogorov Complexity. - Tareque Mohmud Chowdhury, Farzana Tabassum, Sabrina Islam, Abu Raihan Mostofa Kamal:
A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier. - Basma B. Hasanen, Mashood M. Mohsan, AbdulAziz Y. AlKayas, Federico Renda, Irfan Hussain:
Soft Vision-Based Tactile-Enabled SixthFinger: Advancing Daily Objects Manipulation for Stroke Survivors. - Wenxuan Zeng, Ye Dong, Jinjin Zhou, Junming Ma, Jin Tan, Runsheng Wang, Meng Li:
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference. - Yongshuo Zhu, Lu Li, Keyan Chen, Chenyang Liu, Fugen Zhou, Zhenwei Shi:
Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting. - Keyan Chen, Jiafan Zhang, Chenyang Liu, Zhengxia Zou, Zhenwei Shi:
RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models. - Yi-Heng Xu, Dan-Xuan Liu, Chao Qian:
Pareto Optimization with Robust Evaluation for Noisy Subset Selection. - Yuchang Liu, Wei Guo, Yan Jiang, Mengping Zhang:
A globally divergence-free entropy stable nodal DG method for conservative ideal MHD equations. - Minglong Xue, Shuaibin Fan, Shivakumara Palaiahnakote, Mingliang Zhou:
UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior. - Yizhou Zhou, Mengqiao Zhang, Yuan-Hao Jiang, Xinyu Gao, Naijie Liu, Bo Jiang:
A Study on Educational Data Analysis and Personalized Feedback Report Generation Based on Tags and ChatGPT. - Yiqing Zhang, Xiaozhong Liu, Fabricio Murai:
MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction. - Hiroki Ishizaka:
Nitsche method under a semi-regular mesh condition. - Chen Liang:
Event Argument Extraction with Enriched Prompts. - Shijing Chen, Mohamed Reda Bouadjenek, Shoaib Jameel, Usman Naseem, Basem Suleiman, Flora D. Salim, Hakim Hacid, Imran Razzak:
Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. - Ruizhe Ou, Yuan Hu, Fan Zhang, Jiaxin Chen, Yu Liu:
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing. - Syed Ali Tariq, Tehseen Zia, Mubeen Ghafoor:
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers. - Ruoyu Sun, Yue Xi, Angelos Stefanidis, Zhengyong Jiang, Jionglong Su:
A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning. - Suchana Datta, Dwaipayan Roy, Derek Greene, Gerardine Meaney:
Unveiling Temporal Trends in 19th Century Literature: An Information Retrieval Approach. - Augusto Gonzalez-Bonorino, Monica Capra, Emilio Pantoja:
LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agents. - Wenqi Zhou, Kai Cao, Hao Zheng, Xinyi Zheng, Miao Liu, Per Ola Kristensson, Walterio W. Mayol-Cuevas, Fan Zhang, Weizhe Lin, Junxiao Shen:
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding. - Javier Gamazo Tejero, Moritz Schmid, Pablo Márquez-Neila, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman:
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation. - Zaber Al Hassan Ayon, Gulam Husain, Roshankumar Bisoi, Waliur Rahman, Dr Tom Osborn:
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering. - Bismillah Khan, Syed Ali Tariq, Tehseen Zia, Muhammad Ahsan, David Windridge:
Faithful Counterfactual Visual Explanations (FCVE). - Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu:
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. - Jamaica Jones, Ted Habermann:
Leveraging the Global Research Infrastructure to Characterize the Impact of National Science Foundation Research. - Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann:
Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan. - Raghav Singhal, Zachary Horvitz, Ryan Teehan, Mengye Ren, Zhou Yu, Kathleen McKeown, Rajesh Ranganath:
A General Framework for Inference-time Scaling and Steering of Diffusion Models. - Xing Liu, Chao Huang, Ming Tang:
CoCoI: Distributed Coded Inference System for Straggler Mitigation. - Daxin Liu, Vaishak Belle:
What Is a Counterfactual Cause in Action Theories? - Noureldin Zahran, Aya E. Fouda, Radwa J. Hanafy, Mohammed E. Fouda:
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context. - Dennis Müller, Maurice Chiodo, Mitja Sienknecht:
Integrators at War: Mediating in AI-assisted Resort-to-Force Decisions. - Haojun Yu, Di Dai, Ziwei Zhao, Di He, Han Hu, Liwei Wang:
LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier. - Shourav B. Rabbani, Ibna Kowsar, Manar D. Samad:
Transfer Learning of Tabular Data by Finetuning Large Language Models. - Alice Nardelli, Lorenzo Landolfi, Dario Pasquali, Antonio Sgorbissa, Francesco Rea, Carmine Recchiuto:
Toward a Universal Concept of Artificial Personality: Implementing Robotic Personality in a Kinova Arm. - Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Haotian Ye, Siyu He, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, James Zou, Qingli Zhu, Yong Wang, Liwei Wang:
A Foundational Generative Model for Breast Ultrasound Image Analysis. - John Randolph, Denizalp Goktas, Amy Greenwald:
Banzhaf Power in Hierarchical Voting Games. - Mohsen Koohi Esfahani, Hans Vandierendonck:
On Optimizing Locality of Graph Transposition on Modern Architectures. - Mathieu Cocheteux, Julien Moreau, Franck Davoine:
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach. - Jiayi Huang, Feiyun Zhao, Lieyang Chen:
Defect Detection Network In PCB Circuit Devices Based on GAN Enhanced YOLOv11. - Shan Jiang, Zhenhua Han, Haisheng Tan, Xinyang Jiang, Yifan Yang, Xiaoxi Zhang, Hongqiu Ni, Yuqing Yang, Xiang-Yang Li:
Real-Time Neural-Enhancement for Online Cloud Gaming. - Hanwen Zhong, Jiaxin Chen, Yutong Zhang, Di Huang, Yunhong Wang:
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning. - Abdelhamid Rehouma:
Integrals of Legendre polynomials and approximations. - Sadia Kamal, Tim Oates:
MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis. - Philipp Borchert, Ivan Vulic, Marie-Francine Moens, Jochen De Weerdt:
Language Fusion for Parameter-Efficient Cross-lingual Transfer. - Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique, Umar Farooq:
Analyzing the Evolution and Maintenance of Quantum Computing Repositories. - Timo Saala, Matthias Schott:
Introduction to the Usage of Open Data from the Large Hadron Collider for Computer Scientists in the Context of Machine Learning. - Liyan Chen, Huangying Zhan, Kevin Chen, Xiangyu Xu, Qingan Yan, Changjiang Cai, Yi Xu:
ActiveGAMER: Active GAussian Mapping through Efficient Rendering. - Pedro Rodrigues, Cláudia Quaresma, Maria Costa, Filipe Luz, Maria Micaela Fonseca:
Virtual Reality-Based Telerehabilitation for Upper Limb Recovery Post-Stroke: A Systematic Review of Design Principles, Monitoring, Safety, and Engagement Strategies. - Maria Micaela Fonseca, Nuno Fachada, Micael Sousa, Jorge Oliveira, Pedro Rodrigues, Sara Sousa, Cláudia Quaresma, Phil Lopes:
Games! What are they good for? The Struggle of Serious Game Adoption for Rehabilitation. - Wojciech Zielonka, Stephan J. Garbin, Alexandros Lattas, George Kopanas, Paulo F. U. Gotardo, Thabo Beeler, Justus Thies, Timo Bolkart:
Synthetic Prior for Few-Shot Drivable Head Avatar Inversion. - Fetullah Atas, Grzegorz Cielniak, Lars Grimstad:
From Simulation to Field: Learning Terrain Traversability for Real-World Deployment. - Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Shaowen Wang, Jiawei Han, Zhaonan Wang, Upmanu Lall, Yanzhao Wu, Leonardo Bobadilla, Giri Narasimhan:
Deep Learning and Foundation Models for Weather Prediction: A Survey. - Aisha Zulfiqar, Ebroul Izquierdo:
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification. - Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky:
A General Framework for Error-controlled Unstructured Scientific Data Compression. - Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai:
Risk-Averse Finetuning of Large Language Models. - Wenye Guo, Qun Wang, Hao Yue, Haijian Sun, Rose Qingyang Hu:
Efficient Phishing URL Detection Using Graph-based Machine Learning and Loopy Belief Propagation. - Chengyuan Yao, Carmen Cortez, Renzhe Yu:
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges. - Makoto Otsuka, Kento Kodama, Keisuke Morita, Masayuki Ohzeki:
Black-box optimization and quantum annealing for filtering out mislabeled training instances. - Rahul K. Gupta, Daniel K. Molzahn:
Optimizing Phase Allocation in Unbalanced Power Distribution Networks using a Linearized DistFlow Formulation. - Muhamamd Haris Khan, Selamawit Asfaw, Dmitrii Iarchuk, Miguel Altamirano Cabrera, Luis Moreno, Issatay Tokmurziyev, Dzmitry Tsetserukou:
Shake-VLA: Vision-Language-Action Model-Based System for Bimanual Robotic Manipulations and Liquid Mixing. - Faaiq Waqar, Jiahao Zhang, Anni Lu, Zifan He, Jason Cong, Shimeng Yu:
Monolithic 3D FPGAs Utilizing Back-End-of-Line Configuration Memories. - Woubishet Zewdu Taffese, Ritesh Sharma, Mohammad Hossein Afsharmovahed, Gunasekaran Manogaran, Genda Chen:
Benchmarking YOLOv8 for Optimal Crack Detection in Civil Infrastructure. - Alankrita Bhatt, Or Ordentlich, Oron Sabag:
Optimal Online Bookmaking for Binary Games. - Paulo Akira F. Enabe, Rodrigo Provasi:
A Hybrid Virtual Element Method and Deep Learning Approach for Solving One-Dimensional Euler-Bernoulli Beams. - Xinyi Zheng, Steve Zhang, Weizhe Lin, Aaron Zhang, Walterio W. Mayol-Cuevas, Junxiao Shen:
CULTURE3D: Cultural Landmarks and Terrain Dataset for 3D Applications. - Tapio Pitkäranta:
Why are we living the age of AI applications right now? The long innovation path from AI's birth to a child's bedtime magic. - Zhenyu Lei, Yushun Dong, Weiyu Li, Rong Ding, Qi Wang, Jundong Li:
Harnessing Large Language Models for Disaster Management: A Survey. - Jose Antonio Lara Benitez, Junyi Guo, Kareem Hegazy, Ivan Dokmanic, Michael W. Mahoney, Maarten V. de Hoop:
Neural equilibria for long-term prediction of nonlinear conservation laws. - Vladimir Jacimovic:
A group-theoretic framework for machine learning in hyperbolic spaces. - Yi Wan, Dmytro Korenkevych, Zheqing Zhu:
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks. - Yuli Wang, Kritika Iyer, Sepehr Farhand, Yoshihisa Shinagawa:
Evaluating unsupervised contrastive learning framework for MRI sequences classification. - Sizhen Bian, Vítor Fortes Rey, Siyu Yuan, Paul Lukowicz:
Collaborative Human Activity Recognition with Passive Inter-Body Electrostatic Field. - Vouk Praun-Petrovic, Aadhvika Koundinya, Lavanya Prahallad:
Comparison of Autoencoders for tokenization of ASL datasets. - Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi:
AdaSlicing: Adaptive Online Network Slicing under Continual Network Dynamics in Open Radio Access Networks. - Tribhi Kathuria, Ke Liu, Junwoo Jang, X. Jessie Yang, Maani Ghaffari:
Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement Learning. - David Benrimoh, Nace Mikus, Ariel Rosenfeld:
The Einstein Test: Towards a Practical Test of a Machine's Ability to Exhibit Superintelligence. - Marius Dumitran:
Algorithmical Aspects of Some Bio Inspired Operations. - Yongming Fan, Rui Zhu, Zihao Wang, Chenghong Wang, Haixu Tang, Ye Dong, Hyunghoon Cho, Lucila Ohno-Machado:
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs. - Shiyun Xu, Zhiqi Bu, Yiliang Zhang, Ian J. Barnett:
A Hessian-informed hyperparameter optimization for differential learning rate. - Kapil Kashyap, Sean Fargose, Gandhar Dhonde, Aditya Mishra:
Patent Novelty Assessment Accelerating Innovation and Patent Prosecution. - Venkatakrishnan Vaidyanathapuram Krishnan, Noel Alben, Anish A. Nair, Nathaniel Condit-Schultz:
Sanidha: A Studio Quality Multi-Modal Dataset for Carnatic Music. - Ratneel Deo, Scott Sisson, Jody M. Webster, Rohitash Chandra:
Compact Bayesian Neural Networks via pruned MCMC sampling. - Antonio López Martínez, Alejandro Cano, Antonio Ruiz-Martínez:
Generative Artificial Intelligence-Supported Pentesting: A Comparison between Claude Opus, GPT-4, and Copilot. - Xinyao Ma, Rui Zhu, Zihao Wang, Jingwei Xiong, Qingyu Chen, Haixu Tang, L. Jean Camp, Lucila Ohno-Machado:
Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives. - Muhammad Umair Danish, Katarina Grolinger:
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers. - Nesrine Benchoubane, Nida Fidan, Gunes Karabulut Kurt, Enver Ozdemir:
Decentralized Space Surveillance: Blockchain-Based Space Domain Awareness. - Stoyan Nikolov, Daniele Codecasa, Anna Sjovall, Maxim Tabachnyk, Satish Chandra, Siddharth Taneja, Celal Ziftci:
How is Google using AI for internal code migrations? - Hanjiang Hong, Kai-Kit Wong, Hao Xu, Yin Xu, Hyundong Shin, Ross D. Murch, Dazhi He, Wenjun Zhang:
Downlink OFDM-FAMA in 5G-NR Systems. - Demetris Chrysostomou, José Luis Rueda Torres, Jochen Lorenz Cremer:
TensorConvolutionPlus: A python package for distribution system flexibility area estimation. - Naser Al Madi, Brett Torra, Yixin Li, Najam Tariq:
Combining Automation and Expertise: A Semi-automated Approach to Correcting Eye Tracking Data in Reading Tasks. - Davide Martinenghi:
Towards a visually interpretable analysis of Two-Phase Locking membership. - Karine Karine, Benjamin M. Marlin:
Combining LLM decision and RL action selection to improve RL policy for adaptive interventions. - Gianna Williams, Maya De Los Santos, Alexandra To, Saiph Savage:
Data Enrichment Work and AI Labor in Latin America and the Caribbean. - Jiayang Wu, Wensheng Gan, Huashen Lu, Philip S. Yu:
Graph Contrastive Learning on Multi-label Classification for Recommendations. - Mozhgan Nasr Azadani, James Riddell, Sean Sedwards, Krzysztof Czarnecki:
LEO: Boosting Mixture of Vision Encoders for Multimodal Large Language Models. - Thanh Vinh Nguyen, Akansel Cosgun:
Hand-Object Contact Detection using Grasp Quality Metrics. - Kapil Khanal, Carlos Michelén-Ströfer, Matthieu Ancellin, Maha N. Haji:
Fully Differentiable Boundary Element Solver for Hydrodynamic Sensitivity Analysis of Wave-Structure Interactions. - Zebo Yang, Ali Ghubaish, Raj Jain, Ala I. Al-Fuqaha, Aiman Erbad, Ramana Kompella, Hassan Shapourian, Reza Nejabati:
Layer-Wise Security Framework and Analysis for the Quantum Internet. - Juntao Ren, Priya Sundaresan, Dorsa Sadigh, Sanjiban Choudhury, Jeannette Bohg:
Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning. - Wenhan Jiang, Tingting Chai, Hongri Liu, Kai Wang, Hongke Zhang:
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph. - Henry Li, Ronen Basri, Yuval Kluger:
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps. - Min Huang, Pengxiang Chen, Han Huang, Tonli He, Yushan Zhang, Zhifeng Hao:
Multiple-gain Estimation for Running Time of Evolutionary Combinatorial Optimization. - Jannik Graebner, Ryne Beeson:
Global Search for Optimal Low Thrust Spacecraft Trajectories using Diffusion Models and the Indirect Method. - Manuel Bernal-Lecina, Alejandrina Hernández, Adrien Pannatier, Léa Pereyre, Francesco Mondada:
Sthymuli: a Static Educational Robot. Leveraging the Thymio II Platform. - Karishma Thakrar, Jiangqin Ma, Max Diamond, Akash Patel:
AlgoRxplorers | Precision in Mutation: Enhancing Drug Design with Advanced Protein Stability Prediction Tools. - Yue Hu, Rong Liu, Meida Chen, Peter A. Beerel, Andrew Feng:
SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting. - Xuhui Guo, Tanmoy Dam, Rohan Dhamdhere, Gourav Modanwal, Anant Madabhushi:
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM. - Anh Thi-Hoang Nguyen, Dung Ha Nguyen, Kiet Van Nguyen:
ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization. - Weixin Chen, Simon Yu, Huajie Shao, Lui Sha, Han Zhao:
Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning. - Benjamin Schiffer, Shirley Zhang:
Improved Regret Bounds for Online Fair Division with Bandit Learning. - Ha Dung Nguyen, Thi-Hoang Anh Nguyen, Thanh Binh Nguyen:
A Proposed Large Language Model-Based Smart Search for Archive System. - Emre Sariyildiz:
IEEE_TIE25: Analysis and Synthesis of DOb-based Robust Motion Controllers. - Abel C. H. Chen, Bon-Yeh Lin:
Hybrid Scheme of Post-Quantum Cryptography and Elliptic-Curve Cryptography for Certificates - A Case Study of Security Credential Management System in Vehicle-to-Everything Communications. - Xiucheng Wang, Peilin Zheng, Nan Cheng:
Erasing Noise in Signal Detection with Diffusion Model: From Theory to Application. - Hoang Thang Ta, Duy-Quy Thai, Anh Tran, Grigori Sidorov, Alexander F. Gelbukh:
PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks. - Zong Ke, Shicheng Zhou, Yining Zhou, Chia Hong Chang, Rong Zhang:
Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models. - Luwei Zeng, Runze Yan:
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis. - Pierre Fraigniaud, Minh-Hang Nguyen, Ami Paz:
A Simple Lower Bound for Set Agreement in Dynamic Networks. - Subrata Kumer Paul, Abu Saleh Musa Miah, Rakhi Rani Paul, Md. Ekramul Hamid, Jungpil Shin, Md. Abdur Rahim:
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for Healthcare. - Jinjing Zhu, Songze Li, Lin Wang:
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective.
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