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Jonathan Binas
2020 – today
- 2022
- [c12]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 - 2021
- [c11]Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas:
Reinforcement Learning with Random Delays. ICLR 2021 - [c10]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: 5815-5826 - [i16]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 abs/2103.01197 (2021) - 2020
- [c9]Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio:
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. ICLR 2020 - [c8]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: 1-6 - [i15]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 abs/2003.00688 (2020) - [i14]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 abs/2005.08605 (2020) - [i13]Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher J. Pal, Jonathan Binas:
Reinforcement Learning with Random Delays. CoRR abs/2010.02966 (2020)
2010 – 2019
- 2019
- [c7]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: 3622-3631 - [i12]Jonathan Binas, Sherjil Ozair, Yoshua Bengio:
The Journey is the Reward: Unsupervised Learning of Influential Trajectories. CoRR abs/1905.09334 (2019) - [i11]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 abs/1905.11382 (2019) - [i10]Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio:
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. CoRR abs/1906.10667 (2019) - 2018
- [c6]Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio:
Extending the Framework of Equilibrium Propagation to General Dynamics. ICLR (Workshop) 2018 - [c5]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: 7651-7662 - [i9]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 abs/1804.02485 (2018) - [i8]Jonathan Binas, Yoshua Bengio:
Low-memory convolutional neural networks through incremental depth-first processing. CoRR abs/1804.10727 (2018) - [i7]Benjamin Scellier, Anirudh Goyal, Jonathan Binas, Thomas Mesnard, Yoshua Bengio:
Generalization of Equilibrium Propagation to Vector Field Dynamics. CoRR abs/1808.04873 (2018) - [i6]Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C. Mozer, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. CoRR abs/1809.03702 (2018) - 2017
- [i5]Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
DDD17: End-To-End DAVIS Driving Dataset. CoRR abs/1711.01458 (2017) - [i4]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 abs/1711.02326 (2017) - 2016
- [c4]Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer:
Spiking analog VLSI neuron assemblies as constraint satisfaction problem solvers. ISCAS 2016: 2094-2097 - [i3]Jonathan Binas, Daniel Neil, Giacomo Indiveri, Shih-Chii Liu, Michael Pfeiffer:
Precise deep neural network computation on imprecise low-power analog hardware. CoRR abs/1606.07786 (2016) - [i2]Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer:
Deep counter networks for asynchronous event-based processing. CoRR abs/1611.00710 (2016) - 2015
- [c3]Jonathan Binas
, Giacomo Indiveri, Michael Pfeiffer:
Local structure helps learning optimized automata in recurrent neural networks. IJCNN 2015: 1-7 - [c2]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: 1-8 - [i1]Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer:
Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers. CoRR abs/1511.00540 (2015) - 2014
- [j1]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: 68 (2014) - 2012
- [c1]Emre Neftci
, Jonathan Binas
, Elisabetta Chicca
, Giacomo Indiveri
, Rodney J. Douglas:
Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. Living Machines 2012: 382-383
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last updated on 2025-01-09 13:00 CET by the dblp team
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