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Gaurav Rohit Ghosal
Gaurav Rohit Ghosal
Ph.D. Student - Carnegie Mellon University, Machine Learning Department
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
The effect of modeling human rationality level on learning rewards from multiple feedback types
GR Ghosal, M Zurek, DS Brown, AD Dragan
Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5983-5992, 2023
362023
A deep deterministic policy gradient based network scheduler for deadline-driven data transfers
GR Ghosal, D Ghosal, A Sim, AV Thakur, K Wu
2020 IFIP Networking Conference (Networking), 253-261, 2020
172020
Understanding Finetuning for Factual Knowledge Extraction
GR Ghosal, T Hashimoto, A Raghunathan
Proceedings of the 41st International Conference on Machine Learning 235 …, 2024
72024
Multi-modal prototype learning for interpretable multivariable time series classification
GR Ghosal, R Abbasi-Asl
arXiv preprint arXiv:2106.09636, 2021
42021
Failure Modes of LLMs for Causal Reasoning on Narratives
K Yamin, S Gupta, GR Ghosal, ZC Lipton, B Wilder
arXiv preprint arXiv:2410.23884, 2024
22024
A generalized acquisition function for preference-based reward learning
E Ellis, GR Ghosal, SJ Russell, A Dragan, E Bıyık
2024 IEEE International Conference on Robotics and Automation (ICRA), 2814-2821, 2024
22024
Contextual Reliability: When Different Features Matter in Different Contexts
GR Ghosal, A Setlur, DS Brown, A Dragan, A Raghunathan
International Conference on Machine Learning 2023, 2023
22023
Interpretable Prototype Discovery in Deep Learning-Based Time Series Classification
GR Ghosal, R Abbasi-Asl
Integrated Systems: Data Driven Engineering, 25-33, 2024
2024
Disentangling Sequence Memorization and General Capability in Large Language Models
GR Ghosal, P Maini, A Raghunathan
ICLR 2025 Workshop on Foundation Models in the Wild, 0
Lowering Data Diversity can Accelerate Training: Case Studies in Synthetic Tasks
S Kotha, U Girit, T Kumar, GR Ghosal, A Raghunathan
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Articles 1–10