| 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 | 775 | 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 | 218 | 2021 |
| 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 | 152 | 2013 |
| DDD17: End-to-end DAVIS driving dataset J Binas, D Neil, SC Liu, T Delbruck arXiv preprint arXiv:1711.01458, 2017 | 126 | 2017 |
| 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 | 122 | 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 | 72 | 2018 |
| 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 | 47 | 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 | 35 | 2021 |
| 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 | 35 | 2016 |
| 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 | 35 | 2014 |
| 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 | 26 | 2019 |
| Generalization of equilibrium propagation to vector field dynamics B Scellier, A Goyal, J Binas, T Mesnard, Y Bengio arXiv preprint arXiv:1808.04873, 2018 | 26 | 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 | 25 | 2016 |
| 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 | 23 | 2020 |
| Reinforcement learning for sustainable agriculture J Binas, L Luginbuehl, Y Bengio ICML 2019 Workshop Climate Change: How Can AI Help, 2019 | 19 | 2019 |
| 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 | 13 | 2017 |
| Precise neural network computation with imprecise analog devices J Binas, D Neil, G Indiveri, SC Liu, M Pfeiffer arXiv preprint arXiv:1606.07786, 2016 | 11 | 2016 |
| Reinforcement learning with random delays Y Bouteiller, S Ramstedt, G Beltrame, C Pal, J Binas International conference on learning representations, 2020 | 10 | 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 | 6 | 2019 |
| Extending the framework of equilibrium propagation to general dynamics B Scellier, A Goyal, J Binas, T Mesnard, Y Bengio | 6 | 2018 |
Daniel NeilBenevolentAIVerified email at benevolent.ai
