Jonathan Binas

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 24

Top Topics

Credit Assignment

Constraint Satisfaction

Unsupervised Learning

Top Venues

Publications

Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio
Coordination Among Neural Modules Through a Shared Global Workspace. ICLR (2022)
David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Rémi Le Priol, Aaron C. Courville
Out-of-Distribution Generalization via Risk Extrapolation (REx). ICML (2021)
Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas
Reinforcement Learning with Random Delays. ICLR (2021)
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio
Coordination Among Neural Modules Through a Shared Global Workspace. CoRR (2021)
Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. CoRR (2020)
David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Rémi Le Priol, Aaron C. Courville
Out-of-Distribution Generalization via Risk Extrapolation (REx). CoRR (2020)
Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. ITSC (2020)
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. ICLR (2020)
Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas
Reinforcement Learning with Random Delays. CoRR (2020)
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Denis Kazakov, Yoshua Bengio, Michael C. Mozer
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. CoRR (2019)
Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. ICML (2019)
Jonathan Binas, Sherjil Ozair, Yoshua Bengio
The Journey is the Reward: Unsupervised Learning of Influential Trajectories. CoRR (2019)
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. CoRR (2019)
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. NeurIPS (2018)
Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations. CoRR (2018)
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio
Generalization of Equilibrium Propagation to Vector Field Dynamics. CoRR (2018)
Jonathan Binas, Yoshua Bengio
Low-memory convolutional neural networks through incremental depth-first processing. CoRR (2018)
Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio
Extending the Framework of Equilibrium Propagation to General Dynamics. ICLR (Workshop) (2018)
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. CoRR (2018)
Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück
DDD17: End-To-End DAVIS Driving Dataset. CoRR (2017)
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks. CoRR (2017)
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer
Spiking analog VLSI neuron assemblies as constraint satisfaction problem solvers. ISCAS (2016)
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer
Deep counter networks for asynchronous event-based processing. CoRR (2016)
Jonathan Binas, Daniel Neil, Giacomo Indiveri, Shih-Chii Liu, Michael Pfeiffer
Precise deep neural network computation on imprecise low-power analog hardware. CoRR (2016)
Peter U. Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, Michael Pfeiffer
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. IJCNN (2015)
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer
Local structure helps learning optimized automata in recurrent neural networks. IJCNN (2015)
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer
Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers. CoRR (2015)
Jonathan Binas, Ueli Rutishauser, Giacomo Indiveri, Michael Pfeiffer
Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity. Frontiers Comput. Neurosci. 8 (2014)
Emre Neftci, Jonathan Binas, Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. Living Machines (2012)