Vignesh Subramanian

According to our database, Vignesh Subramanian authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inductive Generalization in Reinforcement Learning from Specifications.

Vignesh Subramanian, Rohit Kushwah, Subhajit Roy, Suguman Bansal

CoRR, 2024

2023

Reinforcement Learning for Stochastic Max-Plus Linear Systems.

Vignesh Subramanian, Farzaneh Farhadi, Sadegh Soudjani

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

When do machine learning models generalize well? A signal-processing perspective

Vignesh Subramanian

PhD thesis, 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, Tapas K. Das

IEEE Trans. Smart Grid, 2022

Generalization for multiclass classification with overparameterized linear models.

Vignesh Subramanian, Rahul Arya, Anant Sahai

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Classification vs regression in overparameterized regimes: Does the loss function matter?

Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel Hsu, Anant Sahai

J. Mach. Learn. Res., 2021

Aging models for n- and p-type LDMOS covering low, medium and high VGS operation.

Guido T. Sasse, Vignesh Subramanian, Ljubo Radic

Proceedings of the IEEE International Reliability Physics Symposium, 2021

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

Proceedings of the IEEE International Reliability Physics Symposium, 2021

2020

Harmless Interpolation of Noisy Data in Regression.

Vidya Muthukumar, Kailas Vodrahalli, Vignesh Subramanian, Anant Sahai

IEEE J. Sel. Areas Inf. Theory, 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

Learning a Neural-Network Controller for a Multiplicative Observation Noise System.

Vignesh Subramanian, Moses Won, Gireeja Ranade

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Learning to Communicate in a Noisy Environment.

Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli

CoRR, 2019

Learning to Communicate with Limited Co-design.

Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

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

Some new numeric results concerning the Witsenhausen Counterexample.

Vignesh Subramanian, Laura Brink, Nikunj Jain, Kailas Vodrahalli, Akhil Jalan, Nikhil Shinde, Anant Sahai

Proceedings of the 56th Annual Allerton Conference on Communication, 2018