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Elvis Dohmatob
Elvis Dohmatob
Associate Professor @ Concordia University and Mila Institute
Zweryfikowany adres z fb.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Which fMRI clustering gives good brain parcellations?
B Thirion, G Varoquaux, E Dohmatob, JB Poline
Frontiers in neuroscience 8, 167, 2014
4012014
Dark control: The default mode network as a reinforcement learning agent
E Dohmatob, G Dumas, D Bzdok
Human brain mapping 41 (12), 3318-3341, 2020
156*2020
Generalized no free lunch theorem for adversarial robustness
E Dohmatob
arXiv preprint arXiv:1810.04065, 2018
119*2018
Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping
AL Pinho, A Amadon, T Ruest, M Fabre, E Dohmatob, I Denghien, ...
Scientific data 5 (1), 1-15, 2018
972018
Extracting brain regions from rest fMRI with total-variation constrained dictionary learning
A Abraham, E Dohmatob, B Thirion, D Samaras, G Varoquaux
International conference on medical image computing and computer-assisted …, 2013
752013
Distributionally robust reinforcement learning
E Smirnova, E Dohmatob, J Mary
arXiv preprint arXiv:1902.08708, 2019
692019
A tale of tails: Model collapse as a change of scaling laws
E Dohmatob, Y Feng, P Yang, F Charton, J Kempe
arXiv preprint arXiv:2402.07043, 2024
572024
Distributionally robust counterfactual risk minimization
L Faury, U Tanielian, E Dohmatob, E Smirnova, F Vasile
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3850-3857, 2020
542020
Learning nonsymmetric determinantal point processes
M Gartrell, VE Brunel, E Dohmatob, S Krichene
Advances in Neural Information Processing Systems 32, 2019
492019
Learning disconnected manifolds: a no gan’s land
U Tanielian, T Issenhuth, E Dohmatob, J Mary
International Conference on Machine Learning, 9418-9427, 2020
462020
Benchmarking solvers for TV-ℓ1least-squares and logistic regression in brain imaging
ED Dohmatob, A Gramfort, B Thirion, G Varoquaux
2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014
462014
Inter-subject registration of functional images: do we need anatomical images?
E Dohmatob, G Varoquaux, B Thirion
Frontiers in neuroscience 12, 64, 2018
452018
Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping
AL Pinho, A Amadon, B Gauthier, N Clairis, A Knops, S Genon, ...
Scientific Data 7 (1), 353, 2020
352020
Model collapse demystified: The case of regression
E Dohmatob, Y Feng, J Kempe
arXiv preprint arXiv:2402.07712, 2024
342024
Adversarial robustness via label-smoothing
M Goibert, E Dohmatob
arXiv preprint arXiv:1906.11567, 2019
332019
Brain topography beyond parcellations: local gradients of functional maps
E Dohmatob, H Richard, AL Pinho, B Thirion
NeuroImage 229, 117706, 2021
252021
Learning brain regions via large-scale online structured sparse dictionary learning
E Dohmatob, A Mensch, G Varoquaux, B Thirion
Advances in Neural Information Processing Systems 29, 2016
232016
Beyond model collapse: Scaling up with synthesized data requires reinforcement
Y Feng, E Dohmatob, P Yang, F Charton, J Kempe
ICML 2024 Workshop on Theoretical Foundations of Foundation Models, 2024
182024
Scaling laws for associative memories
V Cabannes, E Dohmatob, A Bietti
arXiv preprint arXiv:2310.02984, 2023
182023
Grouping total variation and sparsity: Statistical learning with segmenting penalties
M Eickenberg, E Dohmatob, B Thirion, G Varoquaux
International Conference on Medical Image Computing and Computer-Assisted …, 2015
182015
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