1. Sharu Theresa Jose, Osvaldo Simeone, "Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis"
Sharu Theresa Jose, Osvaldo Simeone, "Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis", to appear in IEEE Transactions on Quantum Engineering (2023)
Sharu Theresa Jose, Osvaldo Simeone, "An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints", Entropy (2022)
Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi, "Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization", IEEE Transactions on Information Theory (2021)
Sharu Theresa Jose, Osvaldo Simeone, "Information-Theoretic Generalization Bounds for Meta-Learning and Applications", Entropy (2021)
Sharu Theresa Jose, Osvaldo Simeone, " Free energy minimization: A unified framework for modelling, inference, learning and optimization [lecture notes]", IEEE Signal Processing Magazine (2021).
Sharu Theresa Jose, Ankur A. Kulkarni, "Shannon meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer", IEEE Transactions on Information Theory (2020)
Sharu Theresa Jose, Ankur A. Kulkarni, "Improved Finite Blocklength Converses for Slepian-Wolf coding via Linear Programming", IEEE Transactions on Information Theory (2019)
Sharu Theresa Jose, Ankur A. Kulkarni, "Linear Programming Based Converses for Finite Blocklength Lossy Joint Source- Channel Coding", IEEE Transactions on Information Theory (2017)
Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone," Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-Learning", AISTATS 2022
Sharu Theresa Jose, Osvaldo Simeone, "A Unified PAC-Bayesian framework for Machine Unlearning via Information Risk Minimization", IEEE MLSP 2021
Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone, "Transfer Bayesian Meta-Learning via Weighted Free Energy Minimization", IEEE MLSP 2021
Sharu Theresa Jose, Osvaldo Simeone," An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning", accepted to ISIT 2021.
Sharu Theresa Jose, Osvaldo Simeone, " Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence", accepted to EUSIPCO 2021.
Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi and Osvaldo Simeone, "Conditional Mutual Information Bound for Meta-Generalization Gap", accepted to ISIT 2021.
Sharu Theresa Jose, Osvaldo Simeone, " Address-Event Variable Length Compression for Time-Encoded Data", to appear in the proceedings of ISITA 2020. [arXiv]
Sharu Theresa Jose, Ankur A. Kulkarni, "On a Game between a Delay Constrained Communication System and a Finite State Jammer", to appear in the proceedings of IEEE Conference on Decision and Control, Miami, December, 2018.
Sharu Theresa Jose, Ankur A. Kulkarni, " New Finite Blocklength Converses for Asymmetric Multiple Access Channels via Linear Programming", to appear in the proceedings of SPCOM 2018 (Runner-Up Best Paper Award).
Sharu Theresa Jose, Ankur A. Kulkarni, "Linear Programming Based Finite Blocklength Converses for some Network-like problems", proceedings of IEEE Information Theory Workshop, ITW, Kaohsiung, 2017 .[pdf]
Sharu Theresa Jose, Ankur A. Kulkarni, "A Linear Programming Based Strong Converses for the BSC and BEC", proceedings of National Conference on Communications, NCC, Chennai, March 2017 (Best Paper Award) .[pdf]
Sharu Theresa Jose, Ankur A. Kulkarni, "A Linear Programming Relaxation for stochastic control problems with non-classical information pattern", proceedings of IEEE Conference on Decision and Control CDC, Osaka, Japan, December 2015.[pdf]
Sharu Theresa Jose, Ankur. A. Kulkarni, " Linear Programming Based Finite Blocklength Converses in Information Theory", proceedings of ITA, 2018.