Energy-Delay-Distortion Problem. - Rahul Vaze; Shreyas Chaudhari; Akshat Choube; Nitin Aggarwal (CoRR, 2017)

A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting. - Samarth Gupta; Shreyas Chaudhari; Subhojyoti Mukherjee; Gauri Joshi; Osman Yagan (IEEE J. Sel. Areas Inf. Theory, 2020)

Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks. - Shreyas Chaudhari; Harideep Nair; José M. F. Moura; John Paul Shen (ICASSP, 2021)

A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. - Samarth Gupta; Shreyas Chaudhari; Subhojyoti Mukherjee; Gauri Joshi; Osman Yagan (ICASSP, 2021)

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. - Benjamin Eysenbach; Shreyas Chaudhari; Swapnil Asawa; Sergey Levine; Ruslan Salakhutdinov (ICLR, 2021)

Multi-Armed Bandits With Correlated Arms. - Samarth Gupta; Shreyas Chaudhari; Gauri Joshi; Osman Yagan (IEEE Trans. Inf. Theory, 2021)

Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection. - Shreyas Chaudhari; José M. F. Moura (IEEECONF, 2022)

High-Resolution CMB Lensing Reconstruction with Deep Learning. - Peikai Li; Ipek Ilayda Onur; Scott Dodelson; Shreyas Chaudhari (CoRR, 2022)

Knowledge Distillation by Compressive Sampling. - Shreyas Chaudhari; José M. F. Moura (ACSSC, 2023)

Learning Gradients of Convex Functions with Monotone Gradient Networks. - Shreyas Chaudhari; Srinivasa Pranav; José M. F. Moura (ICASSP, 2023)

Distributional Off-Policy Evaluation for Slate Recommendations. - Shreyas Chaudhari; David Arbour; Georgios Theocharous; Nikos Vlassis (AAAI, 2024)

From Past to Future: Rethinking Eligibility Traces. - Dhawal Gupta; Scott M. Jordan; Shreyas Chaudhari; Bo Liu 006; Philip S. Thomas; Bruno Castro da Silva (AAAI, 2024)

Graph Convolutional Neural Networks In The Companion Model. - John Shi; Shreyas Chaudhari; José M. F. Moura (ICASSP, 2024)

Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. - Shreyas Chaudhari; Ameet Deshpande; Bruno C. da Silva 001; Philip S. Thomas (NeurIPS, 2024)

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. - Shreyas Chaudhari; Pranjal Aggarwal; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan; Ameet Deshpande; Bruno Castro da Silva (CoRR, 2024)

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. - Hitesh Wadhwa; Rahul Seetharaman; Somyaa Aggarwal; Reshmi Ghosh; Samyadeep Basu; Soundararajan Srinivasan; Wenlong Zhao 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

PersonaGym: Evaluating Persona Agents and LLMs. - Vinay Samuel; Henry Peng Zou; Yue Zhou; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Ameet Deshpande; Karthik Narasimhan; Vishvak Murahari (CoRR, 2024)

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. - Reshmi Ghosh; Rahul Seetharaman; Hitesh Wadhwa; Somyaa Aggarwal; Samyadeep Basu; Soundararajan Srinivasan; Wenlong Zhao 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

Peer-to-Peer Learning Dynamics of Wide Neural Networks. - Shreyas Chaudhari; Srinivasa Pranav; Emile Anand; José M. F. Moura (ICASSP, 2025)

Gradient Networks. - Shreyas Chaudhari; Srinivasa Pranav; José M. F. Moura (IEEE Trans. Signal Process., 2025)

ReLU Networks as Random Functions: Their Distribution in Probability Space. - Shreyas Chaudhari; José M. F. Moura (CoRR, 2025)

Agent Context Protocols Enhance Collective Inference. - Devansh Bhardwaj; Arjun Beniwal; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Karthik R. Narasimhan; Ameet Deshpande; Vishvak Murahari (CoRR, 2025)

Probing AI Safety with Source Code. - Ujwal Narayan; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Karthik Narasimhan; Ameet Deshpande; Vishvak Murahari (CoRR, 2025)

GradNetOT: Learning Optimal Transport Maps with GradNets. - Shreyas Chaudhari; Srinivasa Pranav; José M. F. Moura (CoRR, 2025)