Elvis Dohmatob

发表

Generalized No Free Lunch Theorem for Adversarial Robustness

Elvis Dohmatob, Elvis Dohmatob, 2018, ICML.

A simple algorithm for computing Nash-equilibria in incomplete information games

Elvis Dohmatob, 2016, NIPS 2016.

New Results - Which fMRI clustering gives good brain parcellations?

Gaël Varoquaux, Bertrand Thirion, Elvis Dohmatob, 2014 .

Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning

Patrice Abry, Philippe Ciuciu, Elvis Dohmatob, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015, MICCAI.

Enhancement of functional brain connectome analysis by the use of deformable models in the estimation of spatial decompositions of the brain images. (Amélioration de connectivité fonctionnelle par utilisation de modèles déformables dans l'estimation de décompositions spatiales des images de cerveau)

Elvis Dohmatob, Elvis Dohmatob, 2017 .

On the Convergence of Approximate and Regularized Policy Iteration Schemes pdf

Elvis Dohmatob, Elena Smirnova, E. Smirnova, 2019, ArXiv.

FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging pdf

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015, ArXiv.

Dark Control: A Unified Account of Default Mode Function by Control Theory and Reinforcement Learning

Danilo Bzdok, Elvis Dohmatob, Guillaume Dumas, 2017, bioRxiv.

Inter-subject Registration of Functional Images: Do We Need Anatomical Images?

Bertrand Thirion, Gael Varoquaux, Elvis Dohmatob, 2018, Front. Neurosci..

Learning Nonsymmetric Determinantal Point Processes

Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, 2019, NeurIPS.

Which fMRI clustering gives good brain parcellations?

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2014, Front. Neurosci..

Dark Control: A Unified Account of Default Mode Function by Control Theory and Reinforcement Learning

Danilo Bzdok, Elvis Dohmatob, Guillaume Dumas, 2017, bioRxiv.

Limitations of adversarial robustness: strong No Free Lunch Theorem pdf

Elvis Dohmatob, Elvis Dohmatob, 2018, ArXiv.

Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning

Dimitris Samaras, Gaël Varoquaux, Bertrand Thirion, 2013, MICCAI.

Adversarial Robustness via Adversarial Label-Smoothing pdf

Morgane Goibert, Elvis Dohmatob, Elvis Dohmatob, 2019, ArXiv.

Software and Platforms - Nipy

Gaël Varoquaux, Bertrand Thirion, Virgile Fritsch, 2013 .

Distributionally Robust Counterfactual Risk Minimization pdf

Elena Smirnova, Flavian Vasile, Elvis Dohmatob, 2019, AAAI.

Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging

Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Learning brain regions via large-scale online structured sparse dictionary learning

Gaël Varoquaux, Bertrand Thirion, Arthur Mensch, 2016, NIPS.

New Software and Platforms - Nipy

Gaël Varoquaux, Bertrand Thirion, Elvis Dohmatob, 2014 .

Deep Determinantal Point Processes pdf

Mike Gartrell, Elvis Dohmatob, 2018, ArXiv.

Region segmentation for sparse decompositions: better brain parcellations from rest fMRI pdf

Dimitris Samaras, Gaël Varoquaux, Bertrand Thirion, 2014, ArXiv.

Dark control: The default mode network as a reinforcement learning agent

Danilo Bzdok, Elvis Dohmatob, Guillaume Dumas, 2020, Human brain mapping.

Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Distributionally Robust Reinforcement Learning pdf

Elena Smirnova, Jérémie Mary, Elvis Dohmatob, 2019, ArXiv.

Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015, MICCAI.

New Results - Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2014 .

New Software and Platforms - Nilearn

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2014 .

On the Convergence of Smooth Regularized Approximate Value Iteration Schemes

Elvis Dohmatob, Elena Smirnova, E. Smirnova, 2020, NeurIPS.

Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Brain topography beyond parcellations: Local gradients of functional maps

Bertrand Thirion, Elvis Dohmatob, Hugo Richard, 2021, NeuroImage.

Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes pdf

Elvis Dohmatob, Elvis Dohmatob, 2021, ArXiv.

Scalable Sampling for Nonsymmetric Determinantal Point Processes

Amin Karbasi, Mike Gartrell, Insu Han, 2022 .

Total Variation meets Sparsity: statistical learning with segmenting penalties

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, 2015 .

Which fMRI clustering gives good brain parcellations?

Jean-Baptiste Poline, Gaël Varoquaux, Bertrand Thirion, 2014, Front. Neurosci..

Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping

Gaël Varoquaux, Bertrand Thirion, Lucie Hertz-Pannier, 2018, Scientific Data.