Deep Self-Taught Learning for Handwritten Character Recognition - Frédéric Bastien; Yoshua Bengio; Arnaud Bergeron; Nicolas Boulanger-Lewandowski; Thomas M. Breuel; Youssouf Chherawala; Moustapha Cissé; Myriam Côté; Dumitru Erhan; Jeremy Eustache; Xavier Glorot; Xavier Muller; et al. (CoRR, 2010)

Deep Learners Benefit More from Out-of-Distribution Examples. - Yoshua Bengio; Frédéric Bastien; Arnaud Bergeron; Nicolas Boulanger-Lewandowski; Thomas M. Breuel; Youssouf Chherawala; Moustapha Cissé; Myriam Côté; Dumitru Erhan; Jeremy Eustache; Xavier Glorot; Xavier Muller; et al. (AISTATS, 2011)

Theano: new features and speed improvements - Frédéric Bastien; Pascal Lamblin; Razvan Pascanu; James Bergstra; Ian J. Goodfellow; Arnaud Bergeron; Nicolas Bouchard; David Warde-Farley; Yoshua Bengio (CoRR, 2012)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

Automatic differentiation in ML: Where we are and where we should be going. - Bart van Merrienboer; Olivier Breuleux; Arnaud Bergeron; Pascal Lamblin (NeurIPS, 2018)

Introducing Milabench: Benchmarking Accelerators for AI. - Pierre Delaunay; Xavier Bouthillier; Olivier Breuleux; Satya Ortiz-Gagné; Olexa Bilaniuk; Fabrice Normandin; Arnaud Bergeron; Bruno Carrez; Guillaume Alain; Soline Blanc; Frédéric Osterrath; Joseph Viviano; et al. (CoRR, 2024)

Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs. - Nicolas Le Roux; Marc G. Bellemare; Jonathan Lebensold; Arnaud Bergeron; Joshua Greaves; Alexandre Fréchette; Carolyne Pelletier; Eric Thibodeau-Laufer; Sándor Tóth; Sam Work (CoRR, 2025)