Guillaume Desjardins

39 papers A* 6A 1B 1Journal 22Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models. CoRR 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, Caglar Gulcehre
2024	A*	`conf`	Imitating Language via Scalable Inverse Reinforcement Learning. NeurIPS Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024	J	`jnl`	Imitating Language via Scalable Inverse Reinforcement Learning. CoRR Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz Gustavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas
2023	J	`jnl`	APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT. CoRR Hadar Schreiber Galler, Tom Zahavy, Guillaume Desjardins, Alon Cohen
2023	J	`jnl`	Developing the Digital Literacy of People with Cognitive Limitations in the Workplace. SN Comput. Sci. Louise Sauvé, Patrick Plante, Gustavo Adolfo Angulo Mendoza, Caroline Brassard, Guillaume Desjardins
2022	J	`jnl`	Behavior Priors for Efficient Reinforcement Learning. J. Mach. Learn. Res. Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess
2022	—	`conf`	Using Inclusive Design for People with Cognitive Limitations to Develop Online Training in the Workplace. CSEDU (1) Louise Sauvé, Patrick Plante, Gustavo Adolfo Angulo Mendoza, Caroline Brassard, Guillaume Desjardins
2021	—	`conf`	Associations of Student Characteristics and Course Organization Factors with Dropping out of University Distance and Online Learning. CSEDU (1) Louise Sauvé, Cathia Papi, Serge Gérin-Lajoie, Guillaume Desjardins
2021	A*	`conf`	Entropic Desired Dynamics for Intrinsic Control. NeurIPS Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih
2021	J	`jnl`	Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. CoRR James Martens, Andy Ballard, Guillaume Desjardins, Grzegorz Swirszcz, Valentin Dalibard, Jascha Sohl-Dickstein, Samuel S. Schoenholz
2021	A*	`conf`	Reward is enough for convex MDPs. NeurIPS Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder Singh
2021	J	`jnl`	Reward is enough for convex MDPs. CoRR Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder Singh
2020	J	`jnl`	Behavior Priors for Efficient Reinforcement Learning. CoRR Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess
2020	J	`jnl`	Importance Weighted Policy Learning and Adaption. CoRR Alexandre Galashov, Jakub Sygnowski, Guillaume Desjardins, Jan Humplik, Leonard Hasenclever, Rae Jeong, Yee Whye Teh, Nicolas Heess
2019	—	`conf`	Information asymmetry in KL-regularized RL. ICLR (Poster) Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess
2019	J	`jnl`	Information asymmetry in KL-regularized RL. CoRR Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess
2019	—	`conf`	Self-regulation Strategies of Students Enrolled in a Distance and Online University Education Program. ICWL Louise Sauvé, Nicole Racette, Cathia Papi, Serge Gérin-Lajoie, Guillaume Desjardins, Sophie Marineau
2018	J	`jnl`	Understanding disentangling in β-VAE. CoRR Christopher P. Burgess, Irina Higgins, Arka Pal, Loïc Matthey, Nick Watters, Guillaume Desjardins, Alexander Lerchner
2016	J	`jnl`	Overcoming catastrophic forgetting in neural networks. CoRR 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
2016	A*	`conf`	Policy Distillation. ICLR (Poster) Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell
2016	J	`jnl`	Progressive Neural Networks. CoRR Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR 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
2015	A*	`conf`	Compress and Control. AAAI Joel Veness, Marc G. Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins
2015	—	`conf`	Natural Neural Networks. NIPS Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu
2015	J	`jnl`	Natural Neural Networks. CoRR Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu
2014	J	`jnl`	Compress and Control. CoRR Joel Veness, Marc G. Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins
2014	J	`jnl`	Deep Tempering. CoRR Guillaume Desjardins, Heng Luo, Aaron C. Courville, Yoshua Bengio
2014	J	`jnl`	The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions. IEEE Trans. Pattern Anal. Mach. Intell. Aaron C. Courville, Guillaume Desjardins, James Bergstra, Yoshua Bengio
2013	B	`conf`	Combining modality specific deep neural networks for emotion recognition in video. ICMI 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
2013	A*	`conf`	Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines ICLR (Poster) Guillaume Desjardins, Razvan Pascanu, Aaron C. Courville, Yoshua Bengio
2012	J	`jnl`	Disentangling Factors of Variation via Generative Entangling CoRR Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio
2012	J	`jnl`	On Training Deep Boltzmann Machines CoRR Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio
2012	—	`conf`	Unsupervised and Transfer Learning Challenge: a Deep Learning Approach. ICML Unsupervised and Transfer Learning 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
2011	—	`conf`	On Tracking The Partition Function. NIPS Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio
2010	J	`jnl`	Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs CoRR Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio
2010	A	`conf`	Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. AISTATS Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau
2010	—	`conf`	Theano: A CPU and GPU Math Compiler in Python. SciPy James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph P. Turian, David Warde-Farley, Yoshua Bengio
2009	—	`conf`	Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists. ISMIR François Maillet, Douglas Eck, Guillaume Desjardins, Paul Lamere