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ORCIDEliezer S. Silva
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- affiliation: University of Campinas, RECOD Lab, Brazil
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2020 – today
- 2024
[c7]Tiago da Silva, Eliezer de Souza da Silva, Diego Mesquita:
On Divergence Measures for Training GFlowNets. NeurIPS 2024- [i5]Tiago da Silva, Eliezer de Souza da Silva, Diego Mesquita:
On Divergence Measures for Training GFlowNets. CoRR abs/2410.09355 (2024) - 2023
- [j1]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) - [i4]Tiago da Silva, Eliezer S. Silva, Adèle H. Ribeiro, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita:
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets. CoRR abs/2309.12032 (2023) - 2021
- [b1]Eliezer de Souza da Silva:
Factorization models with relational and contextual information. Norwegian University of Science and Technology, Trondheim, Norway, 2021
2010 – 2019
- 2019
- [c6]Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. WSDM 2019: 591-599 - [i3]Andreas Kvistad, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Augmented Memory Networks for Streaming-Based Active One-Shot Learning. CoRR abs/1909.01757 (2019) - [i2]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
- [i1]Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. CoRR abs/1812.01276 (2018) - 2017
- [c5]Eliezer de Souza da Silva, Dirk Ahlers:
Poisson Factorization Models for Spatiotemporal Retrieval. GIR 2017: 3:1-3:2 - [c4]Eliezer de Souza da Silva, Helge Langseth, Heri Ramampiaro:
Content-Based Social Recommendation with Poisson Matrix Factorization. ECML/PKDD (1) 2017: 530-546 - [c3]Eliezer de Souza da Silva:
New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information. WSDM 2017: 839 - 2014
- [c2]Eliezer S. Silva, Thiago S. F. X. Teixeira, George Teodoro, Eduardo Valle:
Large-Scale Distributed Locality-Sensitive Hashing for General Metric Data. SISAP 2014: 82-93 - 2013
- [c1]Eliezer S. Silva, Eduardo Valle:
K-medoids LSH: a new locality sensitive hashing in general metric space. SBBD (Short Papers) 2013: 22:1-22:6
Coauthor Index
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