Guillaume Desjardins

According to our database, Guillaume Desjardins authored at least 31 papers between 2009 and 2024.

Collaborative distances:

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

2024

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George-Cristian Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando de Freitas, Çaglar Gülçehre

CoRR, 2024

2023

Developing the Digital Literacy of People with Cognitive Limitations in the Workplace.

Louise Sauvé, Patrick Plante, Gustavo Adolfo Angulo Mendoza, Caroline Brassard, Guillaume Desjardins

SN Comput. Sci., March, 2023

APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT.

Hadar Schreiber Galler, Tom Zahavy, Guillaume Desjardins, Alon Cohen

CoRR, 2023

2022

Behavior Priors for Efficient Reinforcement Learning.

Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess

J. Mach. Learn. Res., 2022

Using Inclusive Design for People with Cognitive Limitations to Develop Online Training in the Workplace.

Louise Sauvé, Patrick Plante, Gustavo Adolfo Angulo Mendoza, Caroline Brassard, Guillaume Desjardins

Proceedings of the 14th International Conference on Computer Supported Education, 2022

2021

Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping.

James Martens, Andy Ballard, Guillaume Desjardins, Grzegorz Swirszcz, Valentin Dalibard, Jascha Sohl-Dickstein, Samuel S. Schoenholz

CoRR, 2021

Reward is enough for convex MDPs.

Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Entropic Desired Dynamics for Intrinsic Control.

Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Associations of Student Characteristics and Course Organization Factors with Dropping out of University Distance and Online Learning.

Louise Sauvé, Cathia Papi, Serge Gérin-Lajoie, Guillaume Desjardins

Proceedings of the 13th International Conference on Computer Supported Education, 2021

2020

Importance Weighted Policy Learning and Adaption.

Alexandre Galashov, Jakub Sygnowski, Guillaume Desjardins, Jan Humplik, Leonard Hasenclever, Rae Jeong, Yee Whye Teh, Nicolas Heess

CoRR, 2020

2019

Self-regulation Strategies of Students Enrolled in a Distance and Online University Education Program.

Louise Sauvé, Nicole Racette, Cathia Papi, Serge Gérin-Lajoie, Guillaume Desjardins, Sophie Marineau

Proceedings of the Advances in Web-Based Learning - ICWL 2019, 2019

Information asymmetry in KL-regularized RL.

Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Understanding disentangling in β-VAE.

Christopher P. Burgess, Irina Higgins, Arka Pal, Loïc Matthey, Nick Watters, Guillaume Desjardins, Alexander Lerchner

CoRR, 2018

2016

Progressive Neural Networks.

Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell

CoRR, 2016

Policy Distillation.

Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell

Proceedings of the 4th International Conference on Learning Representations, 2016

Overcoming catastrophic forgetting in neural networks.

James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell

CoRR, 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

Natural Neural Networks.

Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Compress and Control.

Joel Veness, Marc G. Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions.

Aaron C. Courville, Guillaume Desjardins, James Bergstra, Yoshua Bengio

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Deep Tempering.

Guillaume Desjardins, Heng Luo, Aaron C. Courville, Yoshua Bengio

CoRR, 2014

2013

Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines

Guillaume Desjardins, Razvan Pascanu, Aaron C. Courville, Yoshua Bengio

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

Combining modality specific deep neural networks for emotion recognition in video.

Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

2012

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.

Grégoire Mesnil, Yann N. Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian J. Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron C. Courville, James Bergstra

Proceedings of the Unsupervised and Transfer Learning, 2012

Disentangling Factors of Variation via Generative Entangling

Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio

CoRR, 2012

On Training Deep Boltzmann Machines

Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio

CoRR, 2012

2011

On Tracking The Partition Function.

Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines.

Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs

Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio

CoRR, 2010

Theano: A CPU and GPU Math Compiler in Python.

James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph P. Turian, David Warde-Farley, Yoshua Bengio

Proceedings of the 9th Python in Science Conference 2010 (SciPy 2010), Austin, Texas, June 28, 2010

2009

Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists.

François Maillet, Douglas Eck, Guillaume Desjardins, Paul Lamere

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009