Guillaume Alain

According to our database, Guillaume Alain authored at least 14 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

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

2019

Robo-PlaNet: Learning to Poke in a Day.

Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo, Derek Nowrouzezahrai

CoRR, 2019

2018

Negative eigenvalues of the Hessian in deep neural networks.

Guillaume Alain, Nicolas Le Roux, Pierre-Antoine Manzagol

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Understanding intermediate layers using linear classifier probes.

Guillaume Alain, Yoshua Bengio

Proceedings of the 5th International Conference on Learning Representations, 2017

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, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

CoRR, 2016

2015

Techniques for Learning Binary Stochastic Feedforward Neural Networks.

Tapani Raiko, Mathias Berglund, Guillaume Alain, Laurent Dinh

Proceedings of the 3rd International Conference on Learning Representations, 2015

Variance Reduction in SGD by Distributed Importance Sampling.

Guillaume Alain, Alex Lamb, Chinnadhurai Sankar, Aaron C. Courville, Yoshua Bengio

CoRR, 2015

GSNs : Generative Stochastic Networks.

Guillaume Alain, Yoshua Bengio, Li Yao, Jason Yosinski, Eric Thibodeau-Laufer, Saizheng Zhang, Pascal Vincent

CoRR, 2015

2014

What regularized auto-encoders learn from the data-generating distribution.

Guillaume Alain, Yoshua Bengio

J. Mach. Learn. Res., 2014

Deep Generative Stochastic Networks Trainable by Backprop.

Yoshua Bengio, Eric Laufer, Guillaume Alain, Jason Yosinski

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Regularized Auto-Encoders Estimate Local Statistics

Guillaume Alain, Yoshua Bengio, Salah Rifai

Proceedings of the 1st International Conference on Learning Representations, 2013

Generalized Denoising Auto-Encoders as Generative Models.

Yoshua Bengio, Li Yao, Guillaume Alain, Pascal Vincent

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders

Yoshua Bengio, Guillaume Alain, Salah Rifai

CoRR, 2012

2009

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