Elvis Dohmatob
Elvis Dohmatob
Researcher, Criteo
Verified email at criteo.com - Homepage
TitleCited byYear
Which fMRI clustering gives good brain parcellations?
B Thirion, G Varoquaux, E Dohmatob, JB Poline
Frontiers in neuroscience 8, 167, 2014
2192014
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
462013
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
262014
L'intonation et ses fonctions syntaxiques en rifain
MB Lafkioui
142002
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, 4610-4618, 2016
122016
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
102015
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
92015
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
92015
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
82015
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, 180105, 2018
72018
Multivariate Hurst exponent estimation in fMRI. Application to brain decoding of perceptual learning
H Pellé, P Ciuciu, M Rahim, E Dohmatob, P Abry, V Van Wassenhove
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 996-1000, 2016
62016
Total variation meets sparsity: statistical learning with segmenting penalties
M Eickenberg, E Dohmatob, B Thirion, G Varoquaux
62015
Generalized No Free Lunch Theorem for Adversarial Robustness
E Dohmatob
International Conference on Machine Learning, 1646-1654, 2019
5*2019
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
52014
Which fMRI clustering gives good brain parcellations? Front Neurosci 8: 1–13
B Thirion, G Varoquaux, E Dohmatob, JB Poline
52014
Inter-subject registration of functional images: do we need anatomical images?
E Dohmatob, G Varoquaux, B Thirion
Frontiers in Neuroscience 12, 64, 2018
42018
Distributionally robust reinforcement learning
E Smirnova, E Dohmatob, J Mary
arXiv preprint arXiv:1902.08708, 2019
32019
Iterative Smoothing Proximal Gradient for Regression with Structured Sparsity
F Hadj-Selem, T Lofstedt, V Frouin, V Guillemot, E Duchesnay
arXiv preprint arXiv:1605.09658, 2016
32016
Continuation of Nesterov’s smoothing for regression with structured sparsity in high-dimensional neuroimaging
F Hadj-Selem, T Löfstedt, E Dohmatob, V Frouin, M Dubois, V Guillemot, ...
IEEE transactions on medical imaging 37 (11), 2403-2413, 2018
22018
Dark Control: A Unified Account of Default Mode Function by Control Theory and Reinforcement Learning
E Dohmatob, G Dumas, D Bzdok
bioRxiv, 148890, 2017
22017
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Articles 1–20