Jonathan Binas
Jonathan Binas
Vivid Machines
Verified email at - Homepage
Cited by
Cited by
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
Out-of-distribution generalization via risk extrapolation (rex)
D Krueger, E Caballero, JH Jacobsen, A Zhang, J Binas, D Zhang, ...
International conference on machine learning, 5815-5826, 2021
DDD17: End-to-end DAVIS driving dataset
J Binas, D Neil, SC Liu, T Delbruck
arXiv preprint arXiv:1711.01458, 2017
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
Sparse attentive backtracking: Temporal credit assignment through reminding
NR Ke, AG ALIAS PARTH GOYAL, O Bilaniuk, J Binas, MC Mozer, C Pal, ...
Advances in neural information processing systems 31, 2018
Coordination among neural modules through a shared global workspace
A Goyal, A Didolkar, A Lamb, K Badola, NR Ke, N Rahaman, J Binas, ...
arXiv preprint arXiv:2103.01197, 2021
Ddd20 end-to-end event camera driving dataset: Fusing frames and events with deep learning for improved steering prediction
Y Hu, J Binas, D Neil, SC Liu, T Delbruck
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
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
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
Reinforcement learning with random delays
Y Bouteiller, S Ramstedt, G Beltrame, C Pal, J Binas
International conference on learning representations, 2020
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: Computer Science/Neural and Evolutionary Computing 1606 (1606.07786), 0-0, 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
Reinforcement learning for sustainable agriculture
J Binas, L Luginbuehl, Y Bengio
ICML 2019 workshop climate change: how can AI help, 2019
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
Precise neural network computation with imprecise analog devices
J Binas, D Neil, G Indiveri, SC Liu, M Pfeiffer
arXiv preprint arXiv:1606.07786, 2016
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
Reinforcement learning with random delays
S Ramstedt, Y Bouteiller, G Beltrame, C Pal, J Binas
arXiv preprint arXiv:2010.02966, 2020
Lagrangian dynamics of dendritic microcircuits enables real-time backpropagation of errors
D Dold, AF Kungl, J Sacramento, MA Petrovici, K Schindler, J Binas, ...
target 100 (1), 2, 2019
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