Shubhankar Agarwal

According to our database, Shubhankar Agarwal authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games.

Shubhankar Agarwal, Hamzah Khan, Sandeep P. Chinchali, David Fridovich-Keil

Trans. Mach. Learn. Res., 2025

Constrained Posterior Sampling: Time Series Generation with Hard Constraints.

Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout, Sanjay Shakkottai, Sandeep Chinchali

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PPGWeaver: Diffusion-Augmented Models for Real-Time Heart Rate Estimation on Microcontrollers.

Vinayak Narasimhan, Raimi Shah, Shubhankar Agarwal, Sai Shankar Narasimhan, Shailabh Kumar, Sang Kyu Kim, Sandeep Chinchali, Radwanul Hasan Siddique

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes.

Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, Luis Sentis, David Fridovich-Keil

Proceedings of the 2025 American Control Conference, 2025

2024

Context Matters: Leveraging Contextual Features for Time Series Forecasting.

Sameep Chattopadhyay, Pulkit Paliwal, Sai Shankar Narasimhan, Shubhankar Agarwal, Sandeep P. Chinchali

CoRR, 2024

Time Weaver: A Conditional Time Series Generation Model.

Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep P. Chinchali

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

GPSINDy: Data-Driven Discovery of Equations of Motion.

Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, David Fridovich-Keil

CoRR, 2023

Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection.

Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep Chinchali

CoRR, 2023

Robust Forecasting for Robotic Control: A Game-Theoretic Approach.

Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Task-Driven Data Augmentation for Vision-Based Robotic Control.

Shubhankar Agarwal, Sandeep P. Chinchali

CoRR, 2022

Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach.

Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep P. Chinchali

Proceedings of the Conference on Robot Learning, 2022

Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control.

Shubhankar Agarwal, Sandeep P. Chinchali

Proceedings of the Conference on Robot Learning, 2022

2020

Imitative Planning using Conditional Normalizing Flow.

Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson

CoRR, 2020