Shreyas Chaudhari

Orcid: 0000-0002-8826-2253

According to our database1, Shreyas Chaudhari authored at least 20 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Gradient Networks.
IEEE Trans. Signal Process., 2025

2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation.
CoRR, 2024

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.
CoRR, 2024

Peer-to-Peer Learning Dynamics of Wide Neural Networks.
CoRR, 2024

PersonaGym: Evaluating Persona Agents and LLMs.
CoRR, 2024

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.
CoRR, 2024

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs.
CoRR, 2024

Graph Convolutional Neural Networks In The Companion Model.
Proceedings of the IEEE International Conference on Acoustics, 2024

From Past to Future: Rethinking Eligibility Traces.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Distributional Off-Policy Evaluation for Slate Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning Gradients of Convex Functions with Monotone Gradient Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Knowledge Distillation by Compressive Sampling.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
High-Resolution CMB Lensing Reconstruction with Deep Learning.
CoRR, 2022

Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Multi-Armed Bandits With Correlated Arms.
IEEE Trans. Inf. Theory, 2021

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers.
Proceedings of the 9th International Conference on Learning Representations, 2021

A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting.
IEEE J. Sel. Areas Inf. Theory, 2020

2017
Energy-Delay-Distortion Problem.
CoRR, 2017


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