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ORCIDTomasz Kusmierczyk
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2020 – today
- 2024
[i9]Marcin Sendera, Amin Sorkhei, Tomasz Kusmierczyk:
High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations. CoRR abs/2410.15777 (2024)- 2023
- [j3]Eliezer de Souza da Silva
, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami:
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. J. Mach. Learn. Res. 24: 67:1-67:51 (2023) - 2022
- [i8]Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek:
Hypernetwork approach to Bayesian MAML. CoRR abs/2210.02796 (2022) - 2021
- [c13]Otto Nyberg, Tomasz Kusmierczyk, Arto Klami:
Uplift Modeling with High Class Imbalance. ACML 2021: 315-330 - 2020
- [c12]Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Correcting Predictions for Approximate Bayesian Inference. AAAI 2020: 4511-4518 - [i7]Tomasz Kusmierczyk, Arto Klami:
Mixture of Discrete Normalizing Flows for Variational Inference. CoRR abs/2006.15568 (2020)
2010 – 2019
- 2019
- [j2]Christoph Trattner, Tomasz Kusmierczyk, Kjetil Nørvåg:
Investigating and predicting online food recipe upload behavior. Inf. Process. Manag. 56(3): 654-673 (2019) - [c11]Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Variational Bayesian Decision-making for Continuous Utilities. NeurIPS 2019: 6392-6402 - [i6]Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Variational Bayesian Decision-making for Continuous Utilities. CoRR abs/1902.00792 (2019) - [i5]Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami:
Correcting Predictions for Approximate Bayesian Inference. CoRR abs/1909.04919 (2019) - [i4]Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami:
Prior specification via prior predictive matching: Poisson matrix factorization and beyond. CoRR abs/1910.12263 (2019) - 2018
- [c10]Tomasz Kusmierczyk, Kjetil Nørvåg:
On Validation and Predictability of Digital Badges' Influence on Individual Users. AAAI 2018: 322-329 - [c9]Tomasz Kusmierczyk, Manuel Gomez-Rodriguez:
On the Causal Effect of Badges. WWW 2018: 659-668 - 2017
- [i3]Tomasz Kusmierczyk, Manuel Gomez-Rodriguez:
Harnessing Natural Experiments to Quantify the Causal Effect of Badges. CoRR abs/1707.08160 (2017) - [i2]Tomasz Kusmierczyk, Kjetil Nørvåg:
Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features. CoRR abs/1710.01716 (2017) - 2016
- [j1]Grzegorz Bokota, Marta Magnowska, Tomasz Kusmierczyk, Michal Lukasik, Matylda Roszkowska, Dariusz Plewczynski:
Computational Approach to Dendritic Spine Taxonomy and Shape Transition Analysis. Frontiers Comput. Neurosci. 10: 140 (2016) - [c8]Tomasz Kusmierczyk, Kjetil Nørvåg:
Online Food Recipe Title Semantics: Combining Nutrient Facts and Topics. CIKM 2016: 2013-2016 - [c7]Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg:
Understanding and Predicting Online Food Recipe Production Patterns. HT 2016: 243-248 - [c6]Markus Rokicki, Eelco Herder, Tomasz Kusmierczyk, Christoph Trattner:
Plate and Prejudice: Gender Differences in Online Cooking. UMAP 2016: 207-215 - [i1]Christoph Trattner, Tomasz Kusmierczyk, Kjetil Nørvåg:
FOODWEB - Studying Food Consumption and Production Patterns on the Web. ERCIM News 2016(104) (2016) - 2015
- [c5]Tomasz Kusmierczyk, Kjetil Nørvåg:
Mining Correlations on Massive Bursty Time Series Collections. DASFAA (1) 2015: 55-71 - [c4]Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg:
Temporality in Online Food Recipe Consumption and Production. WWW (Companion Volume) 2015: 55-56 - [c3]Tomasz Kusmierczyk, Christoph Trattner, Kjetil Nørvåg:
Temporal Patterns in Online Food Innovation. WWW (Companion Volume) 2015: 1345-1350 - 2013
- [c2]Witold Kosinski, Marcin Sydow, Tomasz Kusmierczyk, Pawel Rembelski:
Application of Ant-Colony Optimisation to Compute Diversified Entity Summarisation on Semantic Knowledge Graphs. FedCSIS 2013: 69-76 - [c1]Tomasz Kusmierczyk, Marcin Sydow:
Towards a Keyword-Focused Web Crawler. IIS 2013: 187-197 - [p2]Michal Lukasik, Tomasz Kusmierczyk, Lukasz Bolikowski, Hung Son Nguyen:
Hierarchical, Multi-label Classification of Scholarly Publications: Modifications of ML-KNN Algorithm. Intelligent Tools for Building a Scientific Information Platform 2013: 343-363 - [p1]Tomasz Kusmierczyk, Michal Lukasik, Lukasz Bolikowski, Hung Son Nguyen:
Comparing Hierarchical Mathematical Document Clustering against the Mathematics Subject Classification Tree. Intelligent Tools for Building a Scientific Information Platform 2013: 365-392
Coauthor Index
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last updated on 2024-11-27 20:33 CET by the dblp team
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