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Elvis Dohmatob
Elvis Dohmatob
Researcher, Facebook AI Research (FAIR)
Verified email at criteo.com - Homepage
Title
Cited by
Cited by
Year
Which fMRI clustering gives good brain parcellations?
B Thirion, G Varoquaux, E Dohmatob, JB Poline
Frontiers in neuroscience 8, 167, 2014
3412014
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
109*2020
Generalized no free lunch theorem for adversarial robustness
E Dohmatob
arXiv preprint arXiv:1810.04065, 2018
84*2018
Extracting brain regions from rest fMRI with total-variation constrained dictionary learning
A Abraham, E Dohmatob, B Thirion, D Samaras, G Varoquaux
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
752013
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
632018
Distributionally robust reinforcement learning
E Smirnova, E Dohmatob, J Mary
arXiv preprint arXiv:1902.08708, 2019
422019
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
422014
Learning nonsymmetric determinantal point processes
M Gartrell, VE Brunel, E Dohmatob, S Krichene
Advances in Neural Information Processing Systems 32, 2019
372019
Inter-subject registration of functional images: do we need anatomical images?
E Dohmatob, G Varoquaux, B Thirion
Frontiers in neuroscience 12, 64, 2018
322018
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
302020
Learning disconnected manifolds: a no gan’s land
U Tanielian, T Issenhuth, E Dohmatob, J Mary
International Conference on Machine Learning, 9418-9427, 2020
232020
Adversarial robustness via label-smoothing
M Goibert, E Dohmatob
arXiv preprint arXiv:1906.11567, 2019
232019
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
222016
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
202020
Brain topography beyond parcellations: local gradients of functional maps
E Dohmatob, H Richard, AL Pinho, B Thirion
NeuroImage 229, 117706, 2021
162021
Grouping total variation and sparsity: Statistical learning with segmenting penalties
M Eickenberg, E Dohmatob, B Thirion, G Varoquaux
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
162015
Integrating multimodal priors in predictive models for the functional characterization of Alzheimer’s disease
M Rahim, B Thirion, A Abraham, M Eickenberg, E Dohmatob, C Comtat, ...
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
152015
Scalable learning and MAP inference for nonsymmetric determinantal point processes
M Gartrell, I Han, E Dohmatob, J Gillenwater, VE Brunel
arXiv preprint arXiv:2006.09862, 2020
122020
Speeding-up model-selection in GraphNet via early-stopping and univariate feature-screening
E Dohmatob, M Eickenberg, B Thirion, G Varoquaux
2015 International Workshop on Pattern Recognition in NeuroImaging, 17-20, 2015
122015
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI
A Abraham, E Dohmatob, B Thirion, D Samaras, G Varoquaux
arXiv preprint arXiv:1412.3925, 2014
122014
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