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2020 – today
- 2023
[c4]Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain:
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. Canadian AI 2023- 2021
- [i4]Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette, Pascal Germain:
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations. CoRR abs/2110.15137 (2021)
2010 – 2019
- 2019
- [c3]Gaël Letarte, Emilie Morvant, Pascal Germain:
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. AISTATS 2019: 768-776 - [c2]Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette:
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. NeurIPS 2019: 6869-6879 - [i3]Gaël Letarte, Pascal Germain, Benjamin Guedj
, François Laviolette:
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. CoRR abs/1905.10259 (2019) - 2018
- [c1]Gaël Letarte, Frédérik Paradis, Philippe Giguère, François Laviolette:
Importance of Self-Attention for Sentiment Analysis. BlackboxNLP@EMNLP 2018: 267-275 - [i2]Gaël Letarte, Emilie Morvant, Pascal Germain:
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. CoRR abs/1810.12683 (2018) - 2016
- [i1]Alexandre Drouin, Frédéric Raymond, Gaël Letarte St-Pierre, Mario Marchand, Jacques Corbeil, François Laviolette:
Large scale modeling of antimicrobial resistance with interpretable classifiers. CoRR abs/1612.01030 (2016)
Coauthor Index
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