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ORCIDMuni Sreenivas Pydi
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2020 – today
- 2024
[j2]Muni Sreenivas Pydi
, Varun S. Jog:
The Many Faces of Adversarial Risk: An Expanded Study. IEEE Trans. Inf. Theory 70(1): 550-570 (2024)- [c8]Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
Optimal Budgeted Rejection Sampling for Generative Models. AISTATS 2024: 3367-3375 - 2023
- [c7]Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre:
On the Role of Randomization in Adversarially Robust Classification. NeurIPS 2023 - [c6]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. NeurIPS 2023 - [i11]Eirini Ioannou, Muni Sreenivas Pydi, Po-Ling Loh:
Robust empirical risk minimization via Newton's method. CoRR abs/2301.13192 (2023) - [i10]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Training Normalizing Flows with the Precision-Recall Divergence. CoRR abs/2302.00628 (2023) - [i9]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. CoRR abs/2305.18910 (2023) - [i8]Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
Optimal Budgeted Rejection Sampling for Generative Models. CoRR abs/2311.00460 (2023) - [i7]Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen:
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling. CoRR abs/2312.08227 (2023) - 2022
- [i6]Muni Sreenivas Pydi, Varun S. Jog:
The Many Faces of Adversarial Risk. CoRR abs/2201.08956 (2022) - 2021
- [j1]Muni Sreenivas Pydi, Varun S. Jog:
Adversarial Risk via Optimal Transport and Optimal Couplings. IEEE Trans. Inf. Theory 67(9): 6031-6052 (2021) - [c5]Muni Sreenivas Pydi, Varun S. Jog:
The Many Faces of Adversarial Risk. NeurIPS 2021: 10000-10012 - 2020
- [c4]Muni Sreenivas Pydi, Varun S. Jog:
Adversarial Risk via Optimal Transport and Optimal Couplings. ICML 2020: 7814-7823
2010 – 2019
- 2019
- [i5]Muni Sreenivas Pydi, Vishnu Suresh Lokhande:
Active Learning with Importance Sampling. CoRR abs/1910.04371 (2019) - [i4]Muni Sreenivas Pydi, Varun S. Jog:
Adversarial Risk via Optimal Transport and Optimal Couplings. CoRR abs/1912.02794 (2019) - 2018
- [c3]Muni Sreenivas Pydi, Varun S. Jog, Po-Ling Loh:
Graph-Based Ascent Algorithms for Function Maximization. Allerton 2018: 1-8 - [c2]Muni Sreenivas Pydi, Ambedkar Dukkipati:
On Consistency of Compressive Spectral Clustering. ISIT 2018: 2102-2106 - [i3]Muni Sreenivas Pydi, Varun S. Jog, Po-Ling Loh:
Graph-Based Ascent Algorithms for Function Maximization. CoRR abs/1802.04475 (2018) - 2017
- [c1]Karthik Nagasubramanian, Muni Sreenivas Pydi:
Random access retransmission scheme for power limited nodes. NCC 2017: 1-6 - [i2]Ashwin Guha, Muni Sreenivas Pydi, Biswajit Paria, Ambedkar Dukkipati:
Analytic Connectivity in General Hypergraphs. CoRR abs/1701.04548 (2017) - [i1]Muni Sreenivas Pydi, Ambedkar Dukkipati:
On Consistency of Compressive Spectral Clustering. CoRR abs/1702.03522 (2017)
Coauthor Index
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