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Vignesh Subramanian
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2020 – today
- 2024
- [i4]Vignesh Subramanian, Rohit Kushwah, Subhajit Roy, Suguman Bansal:
Inductive Generalization in Reinforcement Learning from Specifications. CoRR abs/2406.03651 (2024) - 2023
- [c7]Vignesh Subramanian, Farzaneh Farhadi, Sadegh Soudjani:
Reinforcement Learning for Stochastic Max-Plus Linear Systems. CDC 2023: 5631-5638 - 2022
- [b1]Vignesh Subramanian:
When do machine learning models generalize well? A signal-processing perspective. University of California, Berkeley, USA, 2022 - [j5]Sebastián González, Felipe Feijoo
, Franco Basso, Vignesh Subramanian, Sriram Sankaranarayanan
Routing and Charging Facility Location for EVs Under Nodal Pricing of Electricity: A Bilevel Model Solved Using Special Ordered Set. IEEE Trans. Smart Grid 13(4): 3059-3068 (2022) - [c6]Vignesh Subramanian, Rahul Arya, Anant Sahai:
Generalization for multiclass classification with overparameterized linear models. NeurIPS 2022 - [i3]Vignesh Subramanian, Rahul Arya, Anant Sahai:
Generalization for multiclass classification with overparameterized linear models. CoRR abs/2206.01399 (2022) - 2021
- [j4]Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian
Classification vs regression in overparameterized regimes: Does the loss function matter? J. Mach. Learn. Res. 22: 222:1-222:69 (2021) - [c5]Ning Duan, Vignesh Subramanian, Edgar Olthof, Paul Eggenkamp, Michiel van Soestbergen, Richard Braspenning:
Moisture diffusion rate in an ultra-low-k dielectric and its effect on the dielectric reliability. IRPS 2021: 1-7 - [c4]Guido T. Sasse, Vignesh Subramanian, Ljubo Radic:
Aging models for n- and p-type LDMOS covering low, medium and high VGS operation. IRPS 2021: 1-6 - 2020
- [j3]Anant Sahai, Joshua Sanz
Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design. IEEE Access 8: 63790-63820 (2020) - [j2]Vidya Muthukumar, Kailas Vodrahalli
Harmless Interpolation of Noisy Data in Regression. IEEE J. Sel. Areas Inf. Theory 1(1): 67-83 (2020) - [c3]Vignesh Subramanian
Learning a Neural-Network Controller for a Multiplicative Observation Noise System. ISIT 2020: 2849-2854 - [i2]Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel J. Hsu, Anant Sahai:
Classification vs regression in overparameterized regimes: Does the loss function matter? CoRR abs/2005.08054 (2020)
2010 – 2019
- 2019
- [c2]Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli:
Learning to Communicate with Limited Co-design. Allerton 2019: 184-191 - [i1]Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli:
Learning to Communicate in a Noisy Environment. CoRR abs/1910.09630 (2019) - 2018
- [j1]Hadi Charkhgard
An integer linear programming formulation for removing nodes in a network to minimize the spread of influenza virus infections. Discret. Optim. 30: 144-167 (2018) - [c1]Vignesh Subramanian, Laura Brink, Nikunj Jain, Kailas Vodrahalli, Akhil Jalan, Nikhil Shinde, Anant Sahai:
Some new numeric results concerning the Witsenhausen Counterexample. Allerton 2018: 413-420
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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