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DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop

Aug 26, 2020
Guillaume Alain, Maxime Chevalier-Boisvert, Frederic Osterrath, Remi Piche-Taillefer


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Robo-PlaNet: Learning to Poke in a Day

Nov 19, 2019
Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo, Derek Nowrouzezahrai

* 4 pages, 3 figures. Version 2: added reference and acknowledgement 

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Negative eigenvalues of the Hessian in deep neural networks

Feb 06, 2019
Guillaume Alain, Nicolas Le Roux, Pierre-Antoine Manzagol


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Understanding intermediate layers using linear classifier probes

Oct 14, 2016
Guillaume Alain, Yoshua Bengio


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Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, 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 Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, 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 Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher 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 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

* 19 pages, 5 figures 

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Variance Reduction in SGD by Distributed Importance Sampling

Apr 16, 2016
Guillaume Alain, Alex Lamb, Chinnadhurai Sankar, Aaron Courville, Yoshua Bengio


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Techniques for Learning Binary Stochastic Feedforward Neural Networks

Apr 09, 2015
Tapani Raiko, Mathias Berglund, Guillaume Alain, Laurent Dinh


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GSNs : Generative Stochastic Networks

Mar 23, 2015
Guillaume Alain, Yoshua Bengio, Li Yao, Jason Yosinski, Eric Thibodeau-Laufer, Saizheng Zhang, Pascal Vincent

* arXiv admin note: substantial text overlap with arXiv:1306.1091 

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What Regularized Auto-Encoders Learn from the Data Generating Distribution

Aug 19, 2014
Guillaume Alain, Yoshua Bengio


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Deep Generative Stochastic Networks Trainable by Backprop

May 24, 2014
Yoshua Bengio, Éric Thibodeau-Laufer, Guillaume Alain, Jason Yosinski

* arXiv admin note: text overlap with arXiv:1305.0445, Also published in ICML'2014 

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Generalized Denoising Auto-Encoders as Generative Models

Nov 11, 2013
Yoshua Bengio, Li Yao, Guillaume Alain, Pascal Vincent


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

Jun 30, 2012
Yoshua Bengio, Guillaume Alain, Salah Rifai


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