Jonathan Binas

29 papers A* 6B 2C 1Journal 17Unranked 3

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