Articles

Sebag I., Pydi M., Franceschi J-Y., Rakotomamonjy A., Gartrell M., Atif J., Allauzen A. (2025), Differentially Private Gradient Flow based on the Sliced Wasserstein Distance, Transactions on machine learning research, p. 1-25

Communications avec actes

Dana L., Pydi M., Chevaleyre Y. (2025), Memorization in Attention-only Transformers, in , Proceedings of Machine Learning Research (PMLR), 3133-3141 p.

Gnecco Heredia L., Sammut M., Pydi M., Pinot R., Negrevergne B., Chevaleyre Y. (2025), Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory, in , Proceedings of Machine Learning Research (PMLR), 3682-3690 p.

Verine A., Pydi M., Negrevergne B., Chevaleyre Y. (2024), Optimal Budgeted Rejection Sampling for Generative Models, in Sanjoy Dasgupta, Stephan Mandt, Yingzhen Li, Proceedings of Machine Learning Research (PMLR), 3367-3375 p.

Gnecco Heredia L., Pydi M., Meunier L., Negrevergne B., Chevaleyre Y. (2023), On the Role of Randomization in Adversarially Robust Classification, in A. Oh , T. Neumann, A. Globerson, K. Saenko, M. Hardt, S. Levine, Neural Information Processing Systems Foundation, Inc.

Verine A., Negrevergne B., Pydi M., Chevaleyre Y. (2023), Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows, in A. Oh ; T. Naumann ; A. Globerson ; K. Saenko ; M. Hardt ; S. Levine, Neural Information Processing Systems Foundation, Inc.

Communications sans actes

CYFFERS E., Pydi M., Atif J., Cappé O. (2024), Optimal Classification under Performative Distribution Shift, 38th Conference on Neural Information Processing Systems, Vancouver, Canada

Prépublications / Cahiers de recherche

Sebag I., Pydi M., Franceschi J-Y., Rakotomamonjy A., Gartrell M., Atif J. (2024), Differentially Private Gradient Flow based on the Sliced Wasserstein Distance, Paris, Preprint Lamsade, 1-24 p.