Batch normalized recurrent neural networks. - César Laurent; Gabriel Pereyra; Philemon Brakel; Ying Zhang 033; Yoshua Bengio (ICASSP, 2016)

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks. - Ying Zhang 033; Mohammad Pezeshki; Philémon Brakel; Saizheng Zhang; César Laurent; Yoshua Bengio; Aaron C. Courville (INTERSPEECH, 2016)

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)

Recurrent Batch Normalization. - Tim Cooijmans; Nicolas Ballas; César Laurent; Aaron C. Courville (CoRR, 2016)

Recurrent Batch Normalization. - Tim Cooijmans; Nicolas Ballas; César Laurent; Çaglar Gülçehre; Aaron C. Courville (ICLR (Poster), 2017)

Recurrent Normalization Propagation. - César Laurent; Nicolas Ballas; Pascal Vincent (ICLR (Workshop), 2017)

An Evaluation of Fisher Approximations Beyond Kronecker Factorization. - César Laurent; Thomas George; Xavier Bouthillier; Nicolas Ballas; Pascal Vincent (ICLR (Workshop), 2018)

Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis. - Thomas George; César Laurent; Xavier Bouthillier; Nicolas Ballas; Pascal Vincent (NeurIPS, 2018)

Unreproducible Research is Reproducible. - Xavier Bouthillier; César Laurent; Pascal Vincent (ICML, 2019)

Revisiting Loss Modelling for Unstructured Pruning. - César Laurent; Camille Ballas; Thomas George; Nicolas Ballas; Pascal Vincent (CoRR, 2020)

Implicit Regularization in Deep Learning: A View from Function Space. - Aristide Baratin; Thomas George; César Laurent; R. Devon Hjelm; Guillaume Lajoie; Pascal Vincent; Simon Lacoste-Julien (CoRR, 2020)

Implicit Regularization via Neural Feature Alignment. - Aristide Baratin; Thomas George; César Laurent; R. Devon Hjelm; Guillaume Lajoie; Pascal Vincent; Simon Lacoste-Julien (AISTATS, 2021)