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Anirudh Goyal
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers

Oct 15, 2020
Alex Lamb, Anirudh Goyal, Agnieszka SÅ‚owik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio


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CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Oct 08, 2020
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer

* The first two authors contributed equally 
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S2RMs: Spatially Structured Recurrent Modules

Jul 13, 2020
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf


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Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems

Jun 30, 2020
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer

* Under Review, NeurIPS 2020 
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Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules

Jun 30, 2020
Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio

* ICML 2020 
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Maximum Entropy Models for Fast Adaptation

Jun 30, 2020
Samarth Sinha, Anirudh Goyal, Animesh Garg


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Untangling tradeoffs between recurrence and self-attention in neural networks

Jun 16, 2020
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio, Guillaume Lajoie


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Is Independence all you need? On the Generalization of Representations Learned from Correlated Data

Jun 14, 2020
Frederik Träuble, Elliot Creager, Niki Kilbertus, Anirudh Goyal, Francesco Locatello, Bernhard Schölkopf, Stefan Bauer

* 33 pages, 33 figures 
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The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget

Apr 24, 2020
Anirudh Goyal, Yoshua Bengio, Matthew Botvinick, Sergey Levine

* Published as a conference paper at ICLR 2020 
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DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Mar 10, 2020
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

* Samarth Sinha* and Homanga Bharadhwaj* contributed equally to this work. Code will be released at https://github.com/rvl-lab-utoronto/dibs 
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Top-K Training of GANs: Improving Generators by Making Critics Less Critical

Feb 14, 2020
Samarth Sinha, Anirudh Goyal, Colin Raffel, Augustus Odena


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Small-GAN: Speeding Up GAN Training Using Core-sets

Oct 29, 2019
Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena


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Learning Neural Causal Models from Unknown Interventions

Oct 02, 2019
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio


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Recurrent Independent Mechanisms

Sep 26, 2019
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf


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Learning the Arrow of Time

Jul 02, 2019
Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio

* A shorter version of this work was presented at the Theoretical Phyiscs for Deep Learning Workshop, ICML 2019 
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Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives

Jun 25, 2019
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio

* Preprint, Under Review 
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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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State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations

May 26, 2019
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Denis Kazakov, Yoshua Bengio, Michael C. Mozer

* ICML 2019 [full oral]. arXiv admin note: text overlap with arXiv:1805.08394 
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InfoBot: Transfer and Exploration via the Information Bottleneck

Apr 04, 2019
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio, Sergey Levine

* Accepted at ICLR'19 
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Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future

Mar 16, 2019
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra

* To appear at ICLR 2019 
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Communication Topologies Between Learning Agents in Deep Reinforcement Learning

Feb 16, 2019
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter Krafft, Esteban Moro, Alex Pentland

* arXiv admin note: substantial text overlap with arXiv:1811.12556 
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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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Maximum Entropy Generators for Energy-Based Models

Jan 24, 2019
Rithesh Kumar, Anirudh Goyal, Aaron Courville, Yoshua Bengio


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Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding

Sep 11, 2018
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio

* To appear as a Spotlight presentation at NIPS 2018 
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Generalization of Equilibrium Propagation to Vector Field Dynamics

Aug 14, 2018
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio


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Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations

Apr 07, 2018
Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio

* Under Review ICML 2018 
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Recall Traces: Backtracking Models for Efficient Reinforcement Learning

Apr 02, 2018
Anirudh Goyal, Philemon Brakel, William Fedus, Timothy Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio

* In Review at ICML 2018 
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Z-Forcing: Training Stochastic Recurrent Networks

Nov 16, 2017
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio

* To appear in NIPS'17 
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