Some new numeric results concerning the Witsenhausen Counterexample. - Vignesh Subramanian; Laura Brink; Nikunj Jain; Kailas Vodrahalli; Akhil Jalan; Nikhil Shinde; Anant Sahai (Allerton, 2018)

An integer linear programming formulation for removing nodes in a network to minimize the spread of influenza virus infections. - Hadi Charkhgard; Vignesh Subramanian; Walter Silva; Tapas K. Das (Discret. Optim., 2018)

Learning to Communicate with Limited Co-design. - Anant Sahai; Joshua Sanz; Vignesh Subramanian; Caryn Tran; Kailas Vodrahalli (Allerton, 2019)

Learning to Communicate in a Noisy Environment. - Anant Sahai; Joshua Sanz; Vignesh Subramanian; Caryn Tran; Kailas Vodrahalli (CoRR, 2019)

Learning a Neural-Network Controller for a Multiplicative Observation Noise System. - Vignesh Subramanian; Moses Won; Gireeja Ranade (ISIT, 2020)

Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design. - Anant Sahai; Joshua Sanz; Vignesh Subramanian; Caryn Tran; Kailas Vodrahalli (IEEE Access, 2020)

Harmless Interpolation of Noisy Data in Regression. - Vidya Muthukumar; Kailas Vodrahalli; Vignesh Subramanian; Anant Sahai (IEEE J. Sel. Areas Inf. Theory, 2020)

Moisture diffusion rate in an ultra-low-k dielectric and its effect on the dielectric reliability. - Ning Duan; Vignesh Subramanian; Edgar Olthof; Paul Eggenkamp; Michiel van Soestbergen; Richard Braspenning (IRPS, 2021)

Aging models for n- and p-type LDMOS covering low, medium and high VGS operation. - Guido T. Sasse; Vignesh Subramanian; Ljubo Radic (IRPS, 2021)

Classification vs regression in overparameterized regimes: Does the loss function matter? - Vidya Muthukumar; Adhyyan Narang; Vignesh Subramanian; Mikhail Belkin; Daniel Hsu 001; Anant Sahai (J. Mach. Learn. Res., 2021)

Generalization for multiclass classification with overparameterized linear models. - Vignesh Subramanian; Rahul Arya; Anant Sahai (NeurIPS, 2022)

Routing and Charging Facility Location for EVs Under Nodal Pricing of Electricity: A Bilevel Model Solved Using Special Ordered Set. - Sebastián González; Felipe Feijoo; Franco Basso; Vignesh Subramanian; Sriram Sankaranarayanan 002; Tapas K. Das (IEEE Trans. Smart Grid, 2022)

When do machine learning models generalize well? A signal-processing perspective - Vignesh Subramanian (2022)

Reinforcement Learning for Stochastic Max-Plus Linear Systems. - Vignesh Subramanian; Farzaneh Farhadi; Sadegh Soudjani (CDC, 2023)

Inductive Generalization in Reinforcement Learning from Specifications. - Vignesh Subramanian; Rohit Kushwah; Subhajit Roy 001; Suguman Bansal (CoRR, 2024)