publications
publications by categories in reversed chronological order. generated by jekyllscholar.
2024
 A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities2024
 On the Geometry of Regularization in Adversarial Training: HighDimensional Asymptotics and Generalization Bounds2024
 A theoretical perspective on mode collapse in variational inference2024
 Dimensionfree deterministic equivalents for random feature regression21–27 jul 2024
 Fundamental limits of weak learnability in highdimensional multiindex models21–27 jul 2024
 A High Dimensional Model for Adversarial Training: Geometry and TradeOffs21–27 jul 2024
2023
 Highdimensional robust regression under heavytailed data: Asymptotics and UniversalityMar 2023


 NeurIPSUniversality laws for Gaussian mixtures in generalized linear modelsIn Advances in Neural Information Processing Systems , 12–15 jul 2023