Gaurav R. Ghosal

According to our database, Gaurav R. Ghosal authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Failure Modes of LLMs for Causal Reasoning on Narratives.

Khurram Yamin, Shantanu Gupta, Gaurav R. Ghosal, Zachary C. Lipton, Bryan Wilder

CoRR, 2024

A Generalized Acquisition Function for Preference-based Reward Learning.

Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Understanding Finetuning for Factual Knowledge Extraction.

Gaurav Rohit Ghosal, Tatsunori Hashimoto, Aditi Raghunathan

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

2023

Contextual Reliability: When Different Features Matter in Different Contexts.

Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca D. Dragan, Aditi Raghunathan

Proceedings of the International Conference on Machine Learning, 2023

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types.

Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification.

Gaurav R. Ghosal, Reza Abbasi-Asl

CoRR, 2021

2020

A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers.

Gaurav R. Ghosal, Dipak Ghosal, Alex Sim, Aditya V. Thakur, Kesheng Wu

Proceedings of the 2020 IFIP Networking Conference, 2020