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Nasim Rahaman
Nasim Rahaman
Mila, Montréal & Max-Planck Institute for Intelligent Systems Tübingen
Zweryfikowany adres z tuebingen.mpg.de - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
11142019
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
3562019
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
1532017
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
902021
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
842018
Covi white paper
H Alsdurf, E Belliveau, Y Bengio, T Deleu, P Gupta, D Ippolito, R Janda, ...
arXiv preprint arXiv:2005.08502, 2020
442020
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
322021
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
202020
S2rms: spatially structured recurrent modules
N Rahaman, A Goyal, MW Gondal, M Wuthrich, S Bauer, Y Sharma, ...
International Conference on Learning Representations 2021, 2020
182020
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
162021
Discrete key-value bottleneck
F Träuble, A Goyal, N Rahaman, MC Mozer, K Kawaguchi, Y Bengio, ...
International Conference on Machine Learning, 34431-34455, 2023
152023
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
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
112020
Proactive contact tracing
P Gupta, T Maharaj, M Weiss, N Rahaman, H Alsdurf, N Minoyan, ...
PLOS Digital Health 2 (3), e0000199, 2023
42023
The mutex watershed and its objective: Eflcient, parameter-free image partitioning
S Wolf, A Bailoni, C Pape, N Rahaman, A Kreshuk, U Köthe, ...
42019
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
32022
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
22022
COVI White Paper (preprint)
H Alsdurf, E Belliveau, Y Bengio, T Deleu, P Gupta, D Ippolito, R Janda, ...
22020
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
12023
Neural Attentive Circuits
N Rahaman, M Weiss, F Locatello, C Pal, Y Bengio, B Schölkopf, LE Li, ...
arXiv preprint arXiv:2210.08031, 2022
12022
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