Model-based clustering of array CGH data. - Sohrab P. Shah; K-John Cheung Jr.; Nathalie A. Johnson; Guillaume Alain; Randy D. Gascoyne; Douglas E. Horsman; Raymond T. Ng; Kevin P. Murphy (Bioinform., 2009)

Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders - Yoshua Bengio; Guillaume Alain; Salah Rifai (CoRR, 2012)

Generalized Denoising Auto-Encoders as Generative Models. - Yoshua Bengio; Li Yao; Guillaume Alain; Pascal Vincent (NIPS, 2013)

Regularized Auto-Encoders Estimate Local Statistics - Guillaume Alain; Yoshua Bengio; Salah Rifai (ICLR, 2013)

Deep Generative Stochastic Networks Trainable by Backprop. - Yoshua Bengio; Eric Laufer; Guillaume Alain; Jason Yosinski (ICML, 2014)

What regularized auto-encoders learn from the data-generating distribution. - Guillaume Alain; Yoshua Bengio (J. Mach. Learn. Res., 2014)

GSNs : Generative Stochastic Networks. - Guillaume Alain; Yoshua Bengio; Li Yao; Jason Yosinski; Eric Thibodeau-Laufer; Saizheng Zhang; Pascal Vincent (CoRR, 2015)

Variance Reduction in SGD by Distributed Importance Sampling. - Guillaume Alain; Alex Lamb; Chinnadhurai Sankar; Aaron C. Courville; Yoshua Bengio (CoRR, 2015)

Techniques for Learning Binary Stochastic Feedforward Neural Networks. - Tapani Raiko; Mathias Berglund; Guillaume Alain; Laurent Dinh (ICLR (Poster), 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)

Understanding intermediate layers using linear classifier probes. - Guillaume Alain; Yoshua Bengio (ICLR (Workshop), 2017)

Negative eigenvalues of the Hessian in deep neural networks. - Guillaume Alain; Nicolas Le Roux; Pierre-Antoine Manzagol (ICLR (Workshop), 2018)

Robo-PlaNet: Learning to Poke in a Day. - Maxime Chevalier-Boisvert; Guillaume Alain; Florian Golemo; Derek Nowrouzezahrai (CoRR, 2019)

DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop. - Guillaume Alain; Maxime Chevalier-Boisvert; Frédéric Osterrath; Rémi Piché-Taillefer (CoRR, 2020)

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)