Imitative Planning using Conditional Normalizing Flow. - Shubhankar Agarwal; Harshit Sikchi; Cole Gulino; Eric Wilkinson (CoRR, 2020)

Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control. - Shubhankar Agarwal; Sandeep P. Chinchali (CoRL, 2022)

Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach. - Oguzhan Akcin; Po-han Li; Shubhankar Agarwal; Sandeep P. Chinchali (CoRL, 2022)

Task-Driven Data Augmentation for Vision-Based Robotic Control. - Shubhankar Agarwal; Sandeep P. Chinchali (CoRR, 2022)

Robust Forecasting for Robotic Control: A Game-Theoretic Approach. - Shubhankar Agarwal; David Fridovich-Keil; Sandeep P. Chinchali (ICRA, 2023)

Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection. - Oguzhan Akcin; Po-han Li; Shubhankar Agarwal; Sandeep Chinchali (CoRR, 2023)

GPSINDy: Data-Driven Discovery of Equations of Motion. - Junette Hsin; Shubhankar Agarwal; Adam J. Thorpe; David Fridovich-Keil (CoRR, 2023)

Time Weaver: A Conditional Time Series Generation Model. - Sai Shankar Narasimhan; Shubhankar Agarwal; Oguzhan Akcin; Sujay Sanghavi; Sandeep P. Chinchali (ICML, 2024)

Constrained Posterior Sampling: Time Series Generation with Hard Constraints. - Sai Shankar Narasimhan; Shubhankar Agarwal; Litu Rout; Sanjay Shakkottai; Sandeep P. Chinchali (CoRR, 2024)

Context Matters: Leveraging Contextual Features for Time Series Forecasting. - Sameep Chattopadhyay; Pulkit Paliwal; Sai Shankar Narasimhan; Shubhankar Agarwal; Sandeep P. Chinchali (CoRR, 2024)

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)