Shubhankar Agarwal

According to our database, Shubhankar Agarwal authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Context Matters: Leveraging Contextual Features for Time Series Forecasting.

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

CoRR, 2024

Constrained Posterior Sampling: Time Series Generation with Hard Constraints.

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