Elvis Dohmatob
According to our database1,
Elvis Dohmatob
authored at least 49 papers
between 2013 and 2024.
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Collaborative distances:
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Bibliography
2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
CoRR, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
NeuroImage, 2021
Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes.
CoRR, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Universal Lower-Bounds on Classification Error under Adversarial Attacks and Random Corruption.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging.
IEEE Trans. Medical Imaging, 2018
2017
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).
PhD thesis, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging.
CoRR, 2015
A simple and efficient algorithm for computing approximate Nash equilibria in two-person zero-sum sequential games with imcomplete information.
CoRR, 2015
Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI.
CoRR, 2014
Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
2013
Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013