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COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing

Oct 30, 2020
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St. Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Pal, Joanna Merckx, Eilif B. Muller, Yoshua Bengio


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Predicting Infectiousness for Proactive Contact Tracing

Oct 23, 2020
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams


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COVI White Paper

May 18, 2020
Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck, Jian Tang, Martin Weiss, Yun William Yu

* 63 pages, 1 figure 

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Curriculum in Gradient-Based Meta-Reinforcement Learning

Feb 19, 2020
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Chris J. Pal, Liam Paull

* 11 pages, 10 figures 

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The TCGA Meta-Dataset Clinical Benchmark

Oct 18, 2019
Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sebastien Lemieux, Joseph Paul Cohen

* 5 Pages, Submitted to MLCB 2019 

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Torchmeta: A Meta-Learning library for PyTorch

Sep 14, 2019
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio


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Learning Powerful Policies by Using Consistent Dynamics Model

Jun 11, 2019
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine, Jian Tang

* Accpted at RLDM 2019 

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Gradient-Based Neural DAG Learning

Jun 05, 2019
Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien

* 15 pages 

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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

Feb 04, 2019
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher Pal


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The effects of negative adaptation in Model-Agnostic Meta-Learning

Dec 05, 2018
Tristan Deleu, Yoshua Bengio

* Workshop on Meta-Learning - 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Canada 

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Learning Operations on a Stack with Neural Turing Machines

Dec 02, 2016
Tristan Deleu, Joseph Dureau

* 1st Workshop on Neural Abstract Machines & Program Induction (NAMPI), NIPS 2016, Barcelona, Spain 

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