Large scale modeling of antimicrobial resistance with interpretable classifiers. - Alexandre Drouin; Frédéric Raymond; Gaël Letarte St-Pierre; Mario Marchand; Jacques Corbeil; François Laviolette (CoRR, 2016)

Importance of Self-Attention for Sentiment Analysis. - Gaël Letarte; Frédérik Paradis; Philippe Giguère; François Laviolette (BlackboxNLP@EMNLP, 2018)

Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. - Gaël Letarte; Emilie Morvant; Pascal Germain (AISTATS, 2019)

Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. - Gaël Letarte; Pascal Germain; Benjamin Guedj; François Laviolette (NeurIPS, 2019)

Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations. - Louis Fortier-Dubois; Gaël Letarte; Benjamin Leblanc; François Laviolette; Pascal Germain (CoRR, 2021)

PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. - Louis Fortier-Dubois; Benjamin Leblanc; Gaël Letarte; François Laviolette; Pascal Germain (Canadian AI, 2023)