Gaël Letarte
Gaël Letarte
PhD Student, Laval University
Verified email at - Homepage
Cited by
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Interpretable genotype-to-phenotype classifiers with performance guarantees
A Drouin, G Letarte, F Raymond, M Marchand, J Corbeil, F Laviolette
Scientific reports 9 (1), 1-13, 2019
Importance of Self-Attention for Sentiment Analysis
G Letarte, F Paradis, P Giguère, F Laviolette
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
Dichotomize and generalize: Pac-bayesian binary activated deep neural networks
G Letarte, P Germain, B Guedj, F Laviolette
Advances in Neural Information Processing Systems, 6872-6882, 2019
Large scale modeling of antimicrobial resistance with interpretable classifiers
A Drouin, F Raymond, GL St-Pierre, M Marchand, J Corbeil, F Laviolette
arXiv preprint arXiv:1612.01030, 2016
Pseudo-bayesian learning with kernel fourier transform as prior
G Letarte, E Morvant, P Germain
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations
L Fortier-Dubois, G Letarte, B Leblanc, F Laviolette, P Germain
arXiv preprint arXiv:2110.15137, 2021
Revisite des" random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêts
L Gautheron, P Germain, A Habrard, G Letarte, E Morvant, M Sebban, ...
CAp 2019-Conférence sur l'Apprentissage automatique, 2019
PAC-Bayesian representation learning
G Letarte
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