Jonathan Binas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
4
Active years
2015–2022
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICLR | 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 |
| 2021 | ICLR | Reinforcement Learning with Random Delays. | Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas |
| 2021 | ICML | Out-of-Distribution Generalization via Risk Extrapolation (REx). | David Krueger, Ethan Caballero, Jrn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Rmi Le Priol, Aaron C. Courville |
| 2020 | ICLR | Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. | Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio |
| 2019 | ICML | 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 |
| 2018 | ICLR | Extending the Framework of Equilibrium Propagation to General Dynamics. | Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio |
| 2016 | ISCAS | Spiking analog VLSI neuron assemblies as constraint satisfaction problem solvers. | Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer |
| 2015 | IJCNN | Local structure helps learning optimized automata in recurrent neural networks. | Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer |
| 2015 | IJCNN | Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. | Peter U. Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, Michael Pfeiffer |