Elvis Dohmatob
Elvis Dohmatob
Researcher, Facebook AI Research (FAIR)
Adresse e-mail validée de criteo.com - Page d'accueil
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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
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
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
Generalized no free lunch theorem for adversarial robustness
E Dohmatob
arXiv preprint arXiv:1810.04065, 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
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
Learning nonsymmetric determinantal point processes
M Gartrell, VE Brunel, E Dohmatob, S Krichene
arXiv preprint arXiv:1905.12962, 2019
Distributionally robust reinforcement learning
E Smirnova, E Dohmatob, J Mary
arXiv preprint arXiv:1902.08708, 2019
Learning brain regions via large-scale online structured sparse dictionary-learning
E Dohmatob, A Mensch, G Varoquaux, B Thirion
Neural Information Processing Systems (NIPS), 2016
Inter-subject registration of functional images: do we need anatomical images?
E Dohmatob, G Varoquaux, B Thirion
Frontiers in neuroscience 12, 64, 2018
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
Adversarial robustness via adversarial label-smoothing
M Goibert, E Dohmatob
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
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015
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), 1-16, 2020
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
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
FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging
G Varoquaux, M Eickenberg, E Dohmatob, B Thirion
arXiv preprint arXiv:1512.06999, 2015
Brain topography beyond parcellations: local gradients of functional maps
E Dohmatob, H Richard, AL Pinho, B Thirion
NeuroImage 229, 117706, 2021
Learning disconnected manifolds: a no gan’s land
U Tanielian, T Issenhuth, E Dohmatob, J Mary
International Conference on Machine Learning, 9418-9427, 2020
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