| On the spectral bias of neural networks N Rahaman*, A Baratin*, D Arpit, F Draxler, M Lin, F Hamprecht, Y Bengio, ... International Conference on Machine Learning, 5301-5310, 2019 | 1494 | 2019 |
| A meta-transfer objective for learning to disentangle causal mechanisms Y Bengio, T Deleu, N Rahaman, R Ke, S Lachapelle, O Bilaniuk, A Goyal, ... International Conference on Learning Representations 2020, 2019 | 399 | 2019 |
| Multicut brings automated neurite segmentation closer to human performance T Beier, C Pape, N Rahaman, T Prange, S Berg, DD Bock, A Cardona, ... Nature methods 14 (2), 101-102, 2017 | 174 | 2017 |
| 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 | 99 | 2021 |
| The mutex watershed: efficient, parameter-free image partitioning S Wolf, C Pape, A Bailoni, N Rahaman, A Kreshuk, U Kothe, ... Proceedings of the European Conference on Computer Vision (ECCV), 546-562, 2018 | 93 | 2018 |
| Covi white paper H Alsdurf, E Belliveau, Y Bengio, T Deleu, P Gupta, D Ippolito, R Janda, ... arXiv preprint arXiv:2005.08502, 2020 | 49 | 2020 |
| Dynamic inference with neural interpreters N Rahaman, MW Gondal, S Joshi, P Gehler, Y Bengio, F Locatello, ... Advances in Neural Information Processing Systems 34, 10985-10998, 2021 | 33 | 2021 |
| Discrete key-value bottleneck F Träuble, A Goyal, N Rahaman, MC Mozer, K Kawaguchi, Y Bengio, ... International Conference on Machine Learning, 34431-34455, 2023 | 29 | 2023 |
| Function contrastive learning of transferable meta-representations MW Gondal, S Joshi, N Rahaman, S Bauer, M Wuthrich, B Schölkopf International Conference on Machine Learning, 3755-3765, 2021 | 22 | 2021 |
| Predicting infectiousness for proactive contact tracing Y Bengio*, P Gupta*, T Maharaj*, N Rahaman*, M Weiss*, T Deleu, ... International Conference on Learning Representations 2021, 2020 | 22 | 2020 |
| S2rms: spatially structured recurrent modules N Rahaman, A Goyal, MW Gondal, M Wuthrich, S Bauer, Y Sharma, ... International Conference on Learning Representations 2021, 2020 | 19* | 2020 |
| COVI-AgentSim: an agent-based model for evaluating methods of digital contact tracing P Gupta, T Maharaj, M Weiss, N Rahaman, H Alsdurf, A Sharma, ... arXiv preprint arXiv:2010.16004, 2020 | 13 | 2020 |
| Learning the arrow of time for problems in reinforcement learning N Rahaman, S Wolf, A Goyal, R Remme, Y Bengio International Conference on Learning Representations 2021, 2020 | 12* | 2020 |
| Proactive contact tracing P Gupta, T Maharaj, M Weiss, N Rahaman, H Alsdurf, N Minoyan, ... PLOS Digital Health 2 (3), e0000199, 2023 | 7 | 2023 |
| Language Models Can Reduce Asymmetry in Information Markets N Rahaman, M Weiss, M Wüthrich, Y Bengio, LE Li, C Pal, B Schölkopf arXiv preprint arXiv:2403.14443, 2024 | 5* | 2024 |
| The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. A Spieler, N Rahaman, G Martius, B Schölkopf, A Levina The Twelfth International Conference on Learning Representations, 2023 | 5 | 2023 |
| Neural attentive circuits M Weiss, N Rahaman, F Locatello, C Pal, Y Bengio, B Schölkopf, EL Li, ... Advances in Neural Information Processing Systems 35, 7741-7754, 2022 | 5 | 2022 |
| The elm neuron: an efficient and expressive cortical neuron model can solve long-horizon tasks A Spieler, N Rahaman, G Martius, B Schölkopf, A Levina arXiv preprint arXiv:2306.16922, 2023 | 3 | 2023 |
| A General Purpose Neural Architecture for Geospatial Systems N Rahaman, M Weiss, F Träuble, F Locatello, A Lacoste, Y Bengio, C Pal, ... arXiv preprint arXiv:2211.02348, 2022 | 3 | 2022 |
| Early warning of complex climate risk with integrated artificial intelligence M Reichstein, V Benson, G Camps-Valls, H Boran, C Fearnley, ... | 2 | 2024 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAREmail verificata su umontreal.ca
