Nasim Rahaman
Nasim Rahaman
Mila, Montréal & Max-Planck Institute for Intelligent Systems Tübingen
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
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
149*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, ...
arXiv preprint arXiv:1901.10912, 2019
932019
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
872017
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
27*2018
Covi white paper
H Alsdurf, Y Bengio, T Deleu, P Gupta, D Ippolito, R Janda, M Jarvie, ...
arXiv preprint arXiv:2005.08502, 2020
142020
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, 2019
3*2019
S2RMs: Spatially Structured Recurrent Modules
N Rahaman, A Goyal, MW Gondal, M Wuthrich, S Bauer, Y Sharma, ...
arXiv preprint arXiv:2007.06533, 2020
12020
The Unruh Effect
N Rahaman, I Bischer
12015
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
2021
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
2020
Predicting Infectiousness for Proactive Contact Tracing
Y Bengio, P Gupta, T Maharaj, N Rahaman, M Weiss, T Deleu, E Muller, ...
arXiv preprint arXiv:2010.12536, 2020
2020
Function Contrastive Learning of Transferable Representations
MW Gondal, S Joshi, N Rahaman, S Bauer, M Wüthrich, B Schölkopf
arXiv preprint arXiv:2010.07093, 2020
2020
Function Contrastive Learning of Transferable Representations
M Waleed Gondal, S Joshi, N Rahaman, S Bauer, M Wüthrich, ...
arXiv e-prints, arXiv: 2010.07093, 2020
2020
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Articles 1–13