On the adaptive sum-capacity of fading MACs with distributed CSI and non-identical links. - Sreejith Sreekumar; Bikash Kumar Dey; Sibi Raj B. Pillai (ISIT, 2013)

Energy efficient random multiple access with strict delay constraints. - Sreejith Sreekumar; Sibi Raj B. Pillai; Bikash Kumar Dey (ISIT, 2014)

On the adaptive capacity region of fading MACs with distributed CSI. - Sreejith Sreekumar; Sibi Raj B. Pillai; Bikash Kumar Dey (ITW, 2014)

Distributed Rate Adaptation and Power Control in Fading Multiple Access Channels. - Sreejith Sreekumar; Bikash Kumar Dey; Sibi Raj B. Pillai (IEEE Trans. Inf. Theory, 2015)

Distributed Scheduling in Multiple Access with Bursty Arrivals and Delay Constraints. - Sakshi Kapoor; Sreejith Sreekumar; Sibi Raj B. Pillai (CoRR, 2016)

Distributed hypothesis testing over noisy channels. - Sreejith Sreekumar; Deniz Gündüz (ISIT, 2017)

Testing Against Conditional Independence Under Security Constraints. - Sreejith Sreekumar; Deniz Gündüz (ISIT, 2018)

Distributed Hypothesis Testing Under Privacy Constraints. - Sreejith Sreekumar; Deniz Gündüz; Asaf Cohen 001 (ITW, 2018)

Distributed Scheduling in Multiple Access With Bursty Arrivals Under a Maximum Delay Constraint. - Sakshi Kapoor; Sreejith Sreekumar; Sibi Raj B. Pillai (IEEE Trans. Inf. Theory, 2018)

Hypothesis Testing over a Noisy Channel. - Sreejith Sreekumar; Deniz Gündüz (ISIT, 2019)

Optimal Privacy-Utility Trade-off under a Rate Constraint. - Sreejith Sreekumar; Deniz Gündüz (ISIT, 2019)

Strong Converse for Testing Against Independence over a Noisy channel. - Sreejith Sreekumar; Deniz Gündüz (ISIT, 2020)

Communicate to Learn at the Edge. - Deniz Gündüz; David Burth Kurka; Mikolaj Jankowski; Mohammad Mohammadi Amiri; Emre Ozfatura; Sreejith Sreekumar (IEEE Commun. Mag., 2020)

Privacy-Aware Distributed Hypothesis Testing. - Sreejith Sreekumar; Asaf Cohen 001; Deniz Gündüz (Entropy, 2020)

Distributed Hypothesis Testing Over Discrete Memoryless Channels. - Sreejith Sreekumar; Deniz Gündüz (IEEE Trans. Inf. Theory, 2020)

Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences. - Sreejith Sreekumar; Zhengxin Zhang; Ziv Goldfeld (AISTATS, 2021)

Soft-covering via Constant-composition Superposition codes. - Sreejith Sreekumar; Ziv Goldfeld (ISIT, 2021)

The Secrecy Capacity of Cost-Constrained Wiretap Channels. - Sreejith Sreekumar; Alexander Bunin; Ziv Goldfeld; Haim H. Permuter; Shlomo Shamai (IEEE Trans. Inf. Theory, 2021)

Neural Estimation of Statistical Divergences. - Sreejith Sreekumar; Ziv Goldfeld (J. Mach. Learn. Res., 2022)

Limit Distribution Theory for KL divergence and Applications to Auditing Differential Privacy. - Sreejith Sreekumar; Ziv Goldfeld; Kengo Kato (ISIT, 2023)

Quantum Neural Estimation of Entropies. - Ziv Goldfeld; Dhrumil Patel; Sreejith Sreekumar; Mark M. Wilde (CoRR, 2023)

Distributed Hypothesis Testing over a Noisy Channel: Error-Exponents Trade-Off. - Sreejith Sreekumar; Deniz Gündüz (Entropy, 2023)

One-Shot Multiple Access Channel Simulation. - Aditya Nema; Sreejith Sreekumar; Mario Berta (ISIT, 2024)

Limit Distribution for Quantum Relative Entropy. - Sreejith Sreekumar; Mario Berta (ISIT, 2024)

Distributed Quantum Hypothesis Testing under Zero-rate Communication Constraints. - Sreejith Sreekumar; Christoph Hirche; Hao-Chung Cheng; Mario Berta (CoRR, 2024)

Limit Distribution Theory for f-Divergences. - Sreejith Sreekumar; Ziv Goldfeld; Kengo Kato (IEEE Trans. Inf. Theory, 2024)

Limit Distribution Theory for Quantum Divergences. - Sreejith Sreekumar; Mario Berta (IEEE Trans. Inf. Theory, 2025)

Deviation Inequalities for Rényi Divergence Estimators via Variational Expression. - Sreejith Sreekumar; Kengo Kato (CoRR, 2025)

Locally-Measured Rényi Divergences. - Tobias Rippchen; Sreejith Sreekumar; Mario Berta (IEEE Trans. Inf. Theory, 2025)