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Muni Sreenivas Pydi
Muni Sreenivas Pydi
Fellow in AI | Université PSL, Paris, France
Verified email at lamsade.dauphine.fr - Homepage
Title
Cited by
Cited by
Year
Adversarial risk via optimal transport and optimal couplings
MS Pydi, V Jog
International Conference on Machine Learning, 7814-7823, 2020
682020
The many faces of adversarial risk
MS Pydi, V Jog
Advances in Neural Information Processing Systems 34, 10000-10012, 2021
232021
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
A Verine, B Negrevergne, MS Pydi, Y Chevaleyre
Advances in Neural Information Processing Systems 36, 2024
4*2024
The many faces of adversarial risk: An expanded study
MS Pydi, V Jog
IEEE Transactions on Information Theory, 2023
32023
Active Learning with Importance Sampling
MS Pydi, VS Lokhande
arXiv preprint arXiv:1910.04371, 2019
32019
Analytic connectivity in general hypergraphs
A Guha, MS Pydi, B Paria, A Dukkipati
arXiv preprint arXiv:1701.04548, 2017
32017
The many faces of adversarial risk
MS Pydi, V Jog
arXiv preprint arXiv:2201.08956, 2022
22022
Graph-based ascent algorithms for function maximization
MS Pydi, V Jog, PL Loh
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
22018
On the Role of Randomization in Adversarially Robust Classification
L Gnecco Heredia, MS Pydi, L Meunier, B Negrevergne, Y Chevaleyre
Advances in Neural Information Processing Systems 36, 2024
12024
Robust empirical risk minimization via Newton’s method
E Ioannou, MS Pydi, PL Loh
Econometrics and Statistics, 2023
12023
On Consistency of Compressive Spectral Clustering
MS Pydi, A Dukkipati
2018 IEEE International Symposium on Information Theory (ISIT), 2102-2106, 2018
12018
Optimal Budgeted Rejection Sampling for Generative Models
A Verine, MS Pydi, B Negrevergne, Y Chevaleyre
International Conference on Artificial Intelligence and Statistics, 3367-3375, 2024
2024
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling
I Sebag, MS PYDI, JY Franceschi, A Rakotomamonjy, M Gartrell, J Atif, ...
arXiv preprint arXiv:2312.08227, 2023
2023
On the Role of Randomization in Adversarially Robust Classification
LG Heredia, Y Chevaleyre, B Negrevergne, L Meunier, MS Pydi
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
Adversarial Robustness in Machine Learning: An Optimal Transport Perspective
MS Pydi
The University of Wisconsin-Madison, 2022
2022
Random access retransmission scheme for power limited nodes
K Nagasubramanian, MS Pydi
2017 Twenty-third National Conference on Communications (NCC), 1-6, 2017
2017
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