Jonathan Binas
Jonathan Binas
Mila, Montreal
Verified email at - Homepage
TitleCited byYear
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
PU Diehl, D Neil, J Binas, M Cook, SC Liu, M Pfeiffer
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Synthesizing cognition in neuromorphic electronic systems
E Neftci, J Binas, U Rutishauser, E Chicca, G Indiveri, RJ Douglas
Proceedings of the National Academy of Sciences 110 (37), E3468-E3476, 2013
Linear and cyclic porphyrin hexamers as near-infrared emitters in organic light-emitting diodes
O Fenwick, JK Sprafke, J Binas, DV Kondratuk, F Di Stasio, HL Anderson, ...
Nano letters 11 (6), 2451-2456, 2011
DDD17: End-to-end DAVIS driving dataset
J Binas, D Neil, SC Liu, T Delbruck
arXiv preprint arXiv:1711.01458, 2017
Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity
J Binas, U Rutishauser, G Indiveri, M Pfeiffer
Frontiers in computational neuroscience 8, 68, 2014
Precise deep neural network computation on imprecise low-power analog hardware
J Binas, D Neil, G Indiveri, SC Liu, M Pfeiffer
arXiv preprint arXiv:1606.07786, 2016
Sparse attentive backtracking: Temporal credit assignment through reminding
NR Ke, AGAP GOYAL, O Bilaniuk, J Binas, MC Mozer, C Pal, Y Bengio
Advances in Neural Information Processing Systems, 7640-7651, 2018
Spiking analog VLSI neuron assemblies as constraint satisfaction problem solvers
J Binas, G Indiveri, M Pfeiffer
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2094-2097, 2016
Fortified networks: Improving the robustness of deep networks by modeling the manifold of hidden representations
A Lamb, J Binas, A Goyal, D Serdyuk, S Subramanian, I Mitliagkas, ...
arXiv preprint arXiv:1804.02485, 2018
Sparse attentive backtracking: Long-range credit assignment in recurrent networks
NR Ke, A Goyal, O Bilaniuk, J Binas, L Charlin, C Pal, Y Bengio
arXiv preprint arXiv:1711.02326, 2017
Deep counter networks for asynchronous event-based processing
J Binas, G Indiveri, M Pfeiffer
arXiv preprint arXiv:1611.00710, 2016
Generalization of equilibrium propagation to vector field dynamics
B Scellier, A Goyal, J Binas, T Mesnard, Y Bengio
arXiv preprint arXiv:1808.04873, 2018
Systematic Construction of Finite State Automata Using VLSI Spiking Neurons
E Neftci, J Binas, E Chicca, G Indiveri, R Douglas
Biomimetic and Biohybrid Systems, 382-383, 2012
Low-memory convolutional neural networks through incremental depth-first processing
J Binas, Y Bengio
arXiv preprint arXiv:1804.10727, 2018
Local structure helps learning optimized automata in recurrent neural networks
J Binas, G Indiveri, M Pfeiffer
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
State-reification networks: Improving generalization by modeling the distribution of hidden representations
A Lamb, J Binas, A Goyal, S Subramanian, I Mitliagkas, D Kazakov, ...
arXiv preprint arXiv:1905.11382, 2019
Extending the Framework of Equilibrium Propagation to General Dynamics
B Scellier, A Goyal, J Binas, T Mesnard, Y Bengio
Brain-Inspired Models and Systems for Distributed Computation
J Binas
ETH Zurich, 2017
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
A Goyal, S Sodhani, J Binas, XB Peng, S Levine, Y Bengio
arXiv preprint arXiv:1906.10667, 2019
The Journey is the Reward: Unsupervised Learning of Influential Trajectories
J Binas, S Ozair, Y Bengio
arXiv preprint arXiv:1905.09334, 2019
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