Short-Packet Low-Power Coded Access for Massive MAC. - Suhas S. Kowshik; Kirill V. Andreev; Alexey A. Frolov; Yury Polyanskiy (ACSSC, 2019)

Energy efficient random access for the quasi-static fading MAC. - Suhas S. Kowshik; Kirill V. Andreev; Alexey A. Frolov; Yury Polyanskiy (ISIT, 2019)

Quasi-static fading MAC with many users and finite payload. - Suhas S. Kowshik; Yury Polyanskiy (ISIT, 2019)

Low Complexity Energy Efficient Random Access Scheme for the Asynchronous Fading MAC. - Kirill V. Andreev; Suhas S. Kowshik; Alexey A. Frolov; Yury Polyanskiy (VTC Fall, 2019)

Energy Efficient Coded Random Access for the Wireless Uplink. - Suhas S. Kowshik; Kirill V. Andreev; Alexey A. Frolov; Yury Polyanskiy (IEEE Trans. Commun., 2020)

Streaming Linear System Identification with Reverse Experience Replay. - Prateek Jain 002; Suhas S. Kowshik; Dheeraj Nagaraj; Praneeth Netrapalli (NeurIPS, 2021)

Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems. - Suhas S. Kowshik; Dheeraj Nagaraj; Prateek Jain 002; Praneeth Netrapalli (NeurIPS, 2021)

Fundamental Limits of Many-User MAC With Finite Payloads and Fading. - Suhas S. Kowshik; Yury Polyanskiy (IEEE Trans. Inf. Theory, 2021)

Improved Bounds for the Many-User MAC. - Suhas S. Kowshik (ISIT, 2022)

Multi-User Reinforcement Learning with Low Rank Rewards. - Dheeraj Mysore Nagaraj; Suhas S. Kowshik; Naman Agarwal; Praneeth Netrapalli; Prateek Jain 002 (ICML, 2023)

CorrSynth - A Correlated Sampling Method for Diverse Dataset Generation from LLMs. - Suhas S. Kowshik; Abhishek Divekar; Vijit Malik (EMNLP, 2024)

Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners. - Drashthi Doshi; Aditya Vema Reddy Kesari; Swaprava Nath; Avishek Ghosh; Suhas S. Kowshik (CoRR, 2025)