Deep neural networks for anatomical brain segmentation. - Alexandre de Brébisson; Giovanni Montana (CVPR Workshops, 2015)

Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets. - Pascal Vincent; Alexandre de Brébisson; Xavier Bouthillier (NIPS, 2015)

Artificial Neural Networks Applied to Taxi Destination Prediction. - Alexandre de Brébisson; Étienne Simon; Alex Auvolat; Pascal Vincent; Yoshua Bengio (DC@PKDD/ECML, 2015)

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)

An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family. - Alexandre de Brébisson; Pascal Vincent (ICLR (Poster), 2016)

A Cheap Linear Attention Mechanism with Fast Lookups and Fixed-Size Representations. - Alexandre de Brébisson; Pascal Vincent (CoRR, 2016)

The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family. - Alexandre de Brébisson; Pascal Vincent (CoRR, 2016)

Exact gradient updates in time independent of output size for the spherical loss family. - Pascal Vincent; Alexandre de Brébisson; Xavier Bouthillier (CoRR, 2016)

A Deep Reinforcement Learning Chatbot. - Iulian Vlad Serban; Chinnadhurai Sankar; Mathieu Germain; Saizheng Zhang; Zhouhan Lin; Sandeep Subramanian; Taesup Kim; Michael Pieper; Sarath Chandar; Nan Rosemary Ke; Sai Mudumba; Alexandre de Brébisson; et al. (CoRR, 2017)

ObamaNet: Photo-realistic lip-sync from text. - Rithesh Kumar; Jose Sotelo; Kundan Kumar; Alexandre de Brébisson; Yoshua Bengio (CoRR, 2018)

A Deep Reinforcement Learning Chatbot (Short Version). - Iulian Vlad Serban; Chinnadhurai Sankar; Mathieu Germain; Saizheng Zhang; Zhouhan Lin; Sandeep Subramanian; Taesup Kim; Michael Pieper; Sarath Chandar; Nan Rosemary Ke; Sai Rajeswar; Alexandre de Brébisson; et al. (CoRR, 2018)

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis. - Kundan Kumar; Rithesh Kumar; Thibault de Boissiere; Lucas Gestin; Wei Zhen Teoh; Jose Sotelo; Alexandre de Brébisson; Yoshua Bengio; Aaron C. Courville (NeurIPS, 2019)