Vignesh Subramanian

18 papers A* 1B 2Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Inductive Generalization in Reinforcement Learning from Specifications. ATVA Vignesh Subramanian, Rohit Kushwah, Subhajit Roy, Suguman Bansal
2024	J	`jnl`	Inductive Generalization in Reinforcement Learning from Specifications. CoRR Vignesh Subramanian, Rohit Kushwah, Subhajit Roy, Suguman Bansal
2023	—	`conf`	Reinforcement Learning for Stochastic Max-Plus Linear Systems. CDC Vignesh Subramanian, Farzaneh Farhadi, Sadegh Soudjani
2022	A*	`conf`	Generalization for multiclass classification with overparameterized linear models. NeurIPS Vignesh Subramanian, Rahul Arya, Anant Sahai
2022	J	`jnl`	Generalization for multiclass classification with overparameterized linear models. CoRR Vignesh Subramanian, Rahul Arya, Anant Sahai
2022	J	`jnl`	Routing and Charging Facility Location for EVs Under Nodal Pricing of Electricity: A Bilevel Model Solved Using Special Ordered Set. IEEE Trans. Smart Grid Sebastián González, Felipe Feijoo, Franco Basso, Vignesh Subramanian, Sriram Sankaranarayanan, Tapas K. Das
2022	—	`—`	When do machine learning models generalize well? A signal-processing perspective Vignesh Subramanian
2021	—	`conf`	Aging models for n- and p-type LDMOS covering low, medium and high VGS operation. IRPS Guido T. Sasse, Vignesh Subramanian, Ljubo Radic
2021	J	`jnl`	Classification vs regression in overparameterized regimes: Does the loss function matter? J. Mach. Learn. Res. Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel Hsu, Anant Sahai
2021	—	`conf`	Moisture diffusion rate in an ultra-low-k dielectric and its effect on the dielectric reliability. IRPS Ning Duan, Vignesh Subramanian, Edgar Olthof, Paul Eggenkamp, Michiel van Soestbergen, Richard Braspenning
2020	J	`jnl`	Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design. IEEE Access Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
2020	J	`jnl`	Classification vs regression in overparameterized regimes: Does the loss function matter? CoRR Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel J. Hsu, Anant Sahai
2020	J	`jnl`	Harmless Interpolation of Noisy Data in Regression. IEEE J. Sel. Areas Inf. Theory Vidya Muthukumar, Kailas Vodrahalli, Vignesh Subramanian, Anant Sahai
2020	B	`conf`	Learning a Neural-Network Controller for a Multiplicative Observation Noise System. ISIT Vignesh Subramanian, Moses Won, Gireeja Ranade
2019	J	`jnl`	Learning to Communicate in a Noisy Environment. CoRR Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
2019	—	`conf`	Learning to Communicate with Limited Co-design. Allerton Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
2018	J	`jnl`	An integer linear programming formulation for removing nodes in a network to minimize the spread of influenza virus infections. Discret. Optim. Hadi Charkhgard, Vignesh Subramanian, Walter Silva, Tapas K. Das
2018	—	`conf`	Some new numeric results concerning the Witsenhausen Counterexample. Allerton Vignesh Subramanian, Laura Brink, Nikunj Jain, Kailas Vodrahalli, Akhil Jalan, Nikhil Shinde, Anant Sahai