Random access retransmission scheme for power limited nodes. - Karthik Nagasubramanian; Muni Sreenivas Pydi (NCC, 2017)

Analytic Connectivity in General Hypergraphs. - Ashwin Guha; Muni Sreenivas Pydi; Biswajit Paria; Ambedkar Dukkipati (CoRR, 2017)

Graph-Based Ascent Algorithms for Function Maximization. - Muni Sreenivas Pydi; Varun S. Jog; Po-Ling Loh (Allerton, 2018)

On Consistency of Compressive Spectral Clustering. - Muni Sreenivas Pydi; Ambedkar Dukkipati (ISIT, 2018)

Active Learning with Importance Sampling. - Muni Sreenivas Pydi; Vishnu Suresh Lokhande (CoRR, 2019)

The Many Faces of Adversarial Risk. - Muni Sreenivas Pydi; Varun S. Jog (NeurIPS, 2021)

Adversarial Risk via Optimal Transport and Optimal Couplings. - Muni Sreenivas Pydi; Varun S. Jog (IEEE Trans. Inf. Theory, 2021)

On the Role of Randomization in Adversarially Robust Classification. - Lucas Gnecco Heredia; Muni Sreenivas Pydi; Laurent Meunier; Benjamin Négrevergne; Yann Chevaleyre (NeurIPS, 2023)

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

Robust empirical risk minimization via Newton's method. - Eirini Ioannou; Muni Sreenivas Pydi; Po-Ling Loh (CoRR, 2023)

Training Normalizing Flows with the Precision-Recall Divergence. - Alexandre Verine; Benjamin Négrevergne; Muni Sreenivas Pydi; Yann Chevaleyre (CoRR, 2023)

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling. - Ilana Sebag; Muni Sreenivas Pydi; Jean-Yves Franceschi; Alain Rakotomamonjy; Mike Gartrell; Jamal Atif; Alexandre Allauzen (CoRR, 2023)

Optimal Budgeted Rejection Sampling for Generative Models. - Alexandre Verine; Muni Sreenivas Pydi; Benjamin Négrevergne; Yann Chevaleyre (AISTATS, 2024)

Optimal Classification under Performative Distribution Shift. - Edwige Cyffers; Muni Sreenivas Pydi; Jamal Atif; Olivier Cappé (NeurIPS, 2024)

The Many Faces of Adversarial Risk: An Expanded Study. - Muni Sreenivas Pydi; Varun S. Jog (IEEE Trans. Inf. Theory, 2024)

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 Négrevergne; Yann Chevaleyre (AISTATS, 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 (Trans. Mach. Learn. Res., 2025)

Memorization in Fine-Tuned Large Language Models. - Danil Savine; Muni Sreenivas Pydi; Jamal Atif; Olivier Cappé (CoRR, 2025)