Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. - Emre Neftci; Jonathan Binas; Elisabetta Chicca; Giacomo Indiveri; Rodney J. Douglas (Living Machines, 2012)

Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity. - Jonathan Binas; Ueli Rutishauser; Giacomo Indiveri; Michael Pfeiffer 001 (Frontiers Comput. Neurosci., 2014)

Local structure helps learning optimized automata in recurrent neural networks. - Jonathan Binas; Giacomo Indiveri; Michael Pfeiffer 001 (IJCNN, 2015)

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. - Peter U. Diehl; Daniel Neil; Jonathan Binas; Matthew Cook 001; Shih-Chii Liu; Michael Pfeiffer 001 (IJCNN, 2015)

Spiking analog VLSI neuron assemblies as constraint satisfaction problem solvers. - Jonathan Binas; Giacomo Indiveri; Michael Pfeiffer 001 (ISCAS, 2016)

Deep counter networks for asynchronous event-based processing. - Jonathan Binas; Giacomo Indiveri; Michael Pfeiffer 001 (CoRR, 2016)

Precise deep neural network computation on imprecise low-power analog hardware. - Jonathan Binas; Daniel Neil; Giacomo Indiveri; Shih-Chii Liu; Michael Pfeiffer 001 (CoRR, 2016)

DDD17: End-To-End DAVIS Driving Dataset. - Jonathan Binas; Daniel Neil; Shih-Chii Liu; Tobi Delbruck (CoRR, 2017)

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks. - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Laurent Charlin; Chris Pal; Yoshua Bengio (CoRR, 2017)

Extending the Framework of Equilibrium Propagation to General Dynamics. - Benjamin Scellier; Anirudh Goyal; Jonathan Binas; Thomas Mesnard; Yoshua Bengio (ICLR (Workshop), 2018)

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Michael C. Mozer; Chris Pal; Yoshua Bengio (NeurIPS, 2018)

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations. - Alex Lamb; Jonathan Binas; Anirudh Goyal; Dmitriy Serdyuk; Sandeep Subramanian; Ioannis Mitliagkas; Yoshua Bengio (CoRR, 2018)

Low-memory convolutional neural networks through incremental depth-first processing. - Jonathan Binas; Yoshua Bengio (CoRR, 2018)

Generalization of Equilibrium Propagation to Vector Field Dynamics. - Benjamin Scellier; Anirudh Goyal; Jonathan Binas; Thomas Mesnard; Yoshua Bengio (CoRR, 2018)

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Michael C. Mozer; Chris Pal; Yoshua Bengio (CoRR, 2018)

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. - Alex Lamb; Jonathan Binas; Anirudh Goyal; Sandeep Subramanian; Ioannis Mitliagkas; Yoshua Bengio; Michael Mozer (ICML, 2019)

The Journey is the Reward: Unsupervised Learning of Influential Trajectories. - Jonathan Binas; Sherjil Ozair; Yoshua Bengio (CoRR, 2019)

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. - Alex Lamb; Jonathan Binas; Anirudh Goyal; Sandeep Subramanian; Ioannis Mitliagkas; Denis Kazakov; Yoshua Bengio; Michael C. Mozer (CoRR, 2019)

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. - Anirudh Goyal; Shagun Sodhani; Jonathan Binas; Xue Bin Peng; Sergey Levine; Yoshua Bengio (ICLR, 2020)

DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. - Yuhuang Hu; Jonathan Binas; Daniel Neil; Shih-Chii Liu; Tobi Delbruck (ITSC, 2020)

Out-of-Distribution Generalization via Risk Extrapolation (REx). - David Krueger 001; Ethan Caballero; Jörn-Henrik Jacobsen; Amy Zhang 001; Jonathan Binas; Rémi Le Priol; Aaron C. Courville (CoRR, 2020)

Reinforcement Learning with Random Delays. - Yann Bouteiller; Simon Ramstedt; Giovanni Beltrame; Christopher J. Pal; Jonathan Binas (ICLR, 2021)

Out-of-Distribution Generalization via Risk Extrapolation (REx). - David Krueger 001; Ethan Caballero; Jörn-Henrik Jacobsen; Amy Zhang 001; Jonathan Binas; Dinghuai Zhang; Rémi Le Priol; Aaron C. Courville (ICML, 2021)

Coordination Among Neural Modules Through a Shared Global Workspace. - Anirudh Goyal; Aniket Rajiv Didolkar; Alex Lamb; Kartikeya Badola; Nan Rosemary Ke; Nasim Rahaman; Jonathan Binas; Charles Blundell; Michael Curtis Mozer; Yoshua Bengio (ICLR, 2022)