Elvis Dohmatob

68 papers A* 19A 2Misc 1Journal 38Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Refusal Ablation in LLM through Optimal Transport. CoRR Géraldin Nanfack, Eugene Belilovsky, Elvis Dohmatob
2025	A*	`conf`	An Effective Theory of Bias Amplification. ICLR Arjun Subramonian, Samuel J. Bell, Levent Sagun, Elvis Dohmatob
2025	A*	`conf`	Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification. ICLR Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
2025	J	`jnl`	Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking. CoRR Ali Saheb Pasand, Elvis Dohmatob
2025	A*	`conf`	Improving the Scaling Laws of Synthetic Data with Deliberate Practice. ICML Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Improving the Scaling Laws of Synthetic Data with Deliberate Practice. CoRR Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2025	A*	`conf`	Strong Model Collapse. ICLR Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe
2025	A*	`conf`	The Pitfalls of Memorization: When Memorization Hurts Generalization. ICLR Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob, David Lopez-Paz, Pascal Vincent
2025	J	`jnl`	Why Less is More (Sometimes): A Theory of Data Curation. CoRR Elvis Dohmatob, Mohammad Pezeshki, Reyhane Askari Hemmat
2025	J	`jnl`	auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory. CoRR Arjun Subramonian, Elvis Dohmatob
2024	A*	`conf`	A Tale of Tails: Model Collapse as a Change of Scaling Laws. ICML Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe
2024	J	`jnl`	A Tale of Tails: Model Collapse as a Change of Scaling Laws. CoRR Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe
2024	J	`jnl`	An Effective Theory of Bias Amplification. CoRR Arjun Subramonian, Samuel J. Bell, Levent Sagun, Elvis Dohmatob
2024	J	`jnl`	Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement. CoRR Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
2024	A*	`conf`	Consistent Adversarially Robust Linear Classification: Non-Parametric Setting. ICML Elvis Dohmatob
2024	A*	`conf`	Model Collapse Demystified: The Case of Regression. NeurIPS Elvis Dohmatob, Yunzhen Feng, Julia Kempe
2024	J	`jnl`	Model Collapse Demystified: The Case of Regression. CoRR Elvis Dohmatob, Yunzhen Feng, Julia Kempe
2024	A*	`conf`	Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms. ICML Elvis Dohmatob, Meyer Scetbon
2024	A*	`conf`	Scaling Laws for Associative Memories. ICLR Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
2024	J	`jnl`	Strong Model Collapse. CoRR Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe
2024	J	`jnl`	The Pitfalls of Memorization: When Memorization Hurts Generalization. CoRR Reza Bayat, Mohammad Pezeshki, Elvis Dohmatob, David Lopez-Paz, Pascal Vincent
2023	A*	`conf`	Contextual bandits with concave rewards, and an application to fair ranking. ICLR Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier
2023	A	`conf`	Origins of Low-Dimensional Adversarial Perturbations. AISTATS Elvis Dohmatob, Chuan Guo, Morgane Goibert
2023	A	`conf`	Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. AISTATS Meyer Scetbon, Elvis Dohmatob
2023	J	`jnl`	Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. CoRR Meyer Scetbon, Elvis Dohmatob
2023	J	`jnl`	Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms. CoRR Elvis Dohmatob, Meyer Scetbon
2023	J	`jnl`	Scaling Laws for Associative Memories. CoRR Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
2022	J	`jnl`	An Adversarial Robustness Perspective on the Topology of Neural Networks. CoRR Morgane Goibert, Thomas Ricatte, Elvis Dohmatob
2022	J	`jnl`	Contextual bandits with concave rewards, and an application to fair ranking. CoRR Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier
2022	—	`conf`	Fast online ranking with fairness of exposure. FAccT Nicolas Usunier, Virginie Do, Elvis Dohmatob
2022	J	`jnl`	Fast online ranking with fairness of exposure. CoRR Nicolas Usunier, Virginie Do, Elvis Dohmatob
2022	J	`jnl`	On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes. CoRR Elvis Dohmatob, Alberto Bietti
2022	J	`jnl`	Origins of Low-dimensional Adversarial Perturbations. CoRR Elvis Dohmatob, Chuan Guo, Morgane Goibert
2022	A*	`conf`	Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. ICML Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi
2022	J	`jnl`	Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. CoRR Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi
2022	A*	`conf`	Scalable Sampling for Nonsymmetric Determinantal Point Processes. ICLR Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
2022	J	`jnl`	Scalable Sampling for Nonsymmetric Determinantal Point Processes. CoRR Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
2021	J	`jnl`	Brain topography beyond parcellations: Local gradients of functional maps. NeuroImage Elvis Dohmatob, Hugo Richard, Ana Luísa Pinho, Bertrand Thirion
2021	J	`jnl`	Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes. CoRR Elvis Dohmatob
2021	A*	`conf`	Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. ICLR Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
2020	A*	`conf`	Distributionally Robust Counterfactual Risk Minimization. AAAI Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile
2020	J	`jnl`	Implicit bias of any algorithm: bounding bias via margin. CoRR Elvis Dohmatob
2020	A*	`conf`	Learning disconnected manifolds: a no GAN's land. ICML Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary
2020	J	`jnl`	Learning disconnected manifolds: a no GANs land. CoRR Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary
2020	A*	`conf`	On the Convergence of Smooth Regularized Approximate Value Iteration Schemes. NeurIPS Elena Smirnova, Elvis Dohmatob
2020	J	`jnl`	Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. CoRR Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
2020	J	`jnl`	Universal Lower-Bounds on Classification Error under Adversarial Attacks and Random Corruption. CoRR Elvis Dohmatob
2019	J	`jnl`	Adversarial Robustness via Adversarial Label-Smoothing. CoRR Morgane Goibert, Elvis Dohmatob
2019	J	`jnl`	Distributionally Robust Counterfactual Risk Minimization. CoRR Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob
2019	J	`jnl`	Distributionally Robust Reinforcement Learning. CoRR Elena Smirnova, Elvis Dohmatob, Jérémie Mary
2019	A*	`conf`	Generalized No Free Lunch Theorem for Adversarial Robustness. ICML Elvis Dohmatob
2019	A*	`conf`	Learning Nonsymmetric Determinantal Point Processes. NeurIPS Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
2019	J	`jnl`	Learning Nonsymmetric Determinantal Point Processes. CoRR Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
2019	J	`jnl`	On the Convergence of Approximate and Regularized Policy Iteration Schemes. CoRR Elena Smirnova, Elvis Dohmatob
2018	J	`jnl`	Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging. IEEE Trans. Medical Imaging Fouad Hadj-Selem, Tommy Löfstedt, Elvis Dohmatob, Vincent Frouin, Mathieu Dubois, Vincent Guillemot, Edouard Duchesnay
2018	J	`jnl`	Deep Determinantal Point Processes. CoRR Mike Gartrell, Elvis Dohmatob
2018	J	`jnl`	Limitations of adversarial robustness: strong No Free Lunch Theorem. CoRR Elvis Dohmatob
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). Elvis Dohmatob
2016	—	`conf`	Learning brain regions via large-scale online structured sparse dictionary learning. NIPS Elvis Dohmatob, Arthur Mensch, Gaël Varoquaux, Bertrand Thirion
2016	Misc	`conf`	Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems. ICASSP Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux
2016	—	`conf`	Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning. ISBI Hubert Pelle, Philippe Ciuciu, Mehdi Rahim, Elvis Dohmatob, Patrice Abry, Virginie van Wassenhove
2015	J	`jnl`	A simple and efficient algorithm for computing approximate Nash equilibria in two-person zero-sum sequential games with imcomplete information. CoRR Elvis Dohmatob
2015	J	`jnl`	FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging. CoRR Gaël Varoquaux, Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion
2015	—	`conf`	Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties. MICCAI (1) Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gaël Varoquaux
2015	—	`conf`	Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease. MICCAI (1) Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gaël Varoquaux
2015	—	`conf`	Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening. PRNI Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux
2014	J	`jnl`	Region segmentation for sparse decompositions: better brain parcellations from rest fMRI. CoRR Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux
2013	—	`conf`	Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning. MICCAI (2) Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux