Pydi, Muni Sreenivas

8 publications

TMLR 2025 Differentially Private Gradient Flow Based on the Sliced Wasserstein Distance Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen

AISTATS 2025 Memorization in Attention-Only Transformers Léo Dana, Muni Sreenivas Pydi, Yann Chevaleyre

AISTATS 2025 Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, Benjamin Negrevergne, Yann Chevaleyre

NeurIPS 2024 Optimal Classification Under Performative Distribution Shift Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Oliver Cappé

NeurIPS 2023 On the Role of Randomization in Adversarially Robust Classification Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Negrevergne, Yann Chevaleyre

NeurIPS 2023 Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Verine, Benjamin Negrevergne, Muni Sreenivas Pydi, Yann Chevaleyre

NeurIPS 2021 The Many Faces of Adversarial Risk Muni Sreenivas Pydi, Varun Jog

ICML 2020 Adversarial Risk via Optimal Transport and Optimal Couplings Muni Sreenivas Pydi, Varun Jog