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 (Networking, 2020)

Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification. - Gaurav R. Ghosal; Reza Abbasi-Asl (CoRR, 2021)

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 (AAAI, 2023)

Contextual Reliability: When Different Features Matter in Different Contexts. - Gaurav Rohit Ghosal; Amrith Setlur; Daniel S. Brown; Anca D. Dragan; Aditi Raghunathan (ICML, 2023)

Understanding Finetuning for Factual Knowledge Extraction. - Gaurav Rohit Ghosal; Tatsunori Hashimoto; Aditi Raghunathan (ICML, 2024)

A Generalized Acquisition Function for Preference-based Reward Learning. - Evan Ellis; Gaurav R. Ghosal; Stuart J. Russell; Anca D. Dragan; Erdem Biyik (ICRA, 2024)

Failure Modes of LLMs for Causal Reasoning on Narratives. - Khurram Yamin; Shantanu Gupta; Gaurav R. Ghosal; Zachary C. Lipton; Bryan Wilder (CoRR, 2024)

LLMs Struggle to Perform Counterfactual Reasoning with Parametric Knowledge. - Khurram Yamin; Gaurav R. Ghosal; Bryan Wilder (CoRR, 2025)

Memorization Sinks: Isolating Memorization during LLM Training. - Gaurav R. Ghosal; Pratyush Maini; Aditi Raghunathan (CoRR, 2025)