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Coordination Among Neural Modules Through a Shared Global Workspace


Mar 01, 2021
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio


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Reinforcement Learning with Random Delays


Oct 08, 2020
Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher Pal, Jonathan Binas


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DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction


May 18, 2020
Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbruck

* Accepted in The 23rd IEEE International Conference on Intelligent Transportation Systems (Special Session: Beyond Traditional Sensing for Intelligent Transportation) 

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Out-of-Distribution Generalization via Risk Extrapolation (REx)


Mar 13, 2020
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Remi Le Priol, Aaron Courville


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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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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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The Journey is the Reward: Unsupervised Learning of Influential Trajectories


May 22, 2019
Jonathan Binas, Sherjil Ozair, Yoshua Bengio

* ICML'19 ERL Workshop 

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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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Low-memory convolutional neural networks through incremental depth-first processing


Apr 28, 2018
Jonathan Binas, 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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Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks


Nov 07, 2017
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio


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DDD17: End-To-End DAVIS Driving Dataset


Nov 04, 2017
Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbruck

* Presented at the ICML 2017 Workshop on Machine Learning for Autonomous Vehicles 

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Deep counter networks for asynchronous event-based processing


Nov 02, 2016
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer


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Precise deep neural network computation on imprecise low-power analog hardware


Jun 23, 2016
Jonathan Binas, Daniel Neil, Giacomo Indiveri, Shih-Chii Liu, Michael Pfeiffer


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Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers


Apr 06, 2016
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer

* Accepted at ISCAS 2016 

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