Improved message passing algorithm for phase noise channels using optimal approximation of Tikhonov mixtures. - Shachar Shayovitz; Dan Raphaeli (ISCCSP, 2012)

Efficient iterative decoding of LDPC in the presence of strong phase noise. - Shachar Shayovitz; Dan Raphaeli (ISTC, 2012)

Multiple Hypotheses Iterative Decoding of LDPC in the Presence of Strong Phase Noise - Shachar Shayovitz; Dan Raphaeli (CoRR, 2012)

A signal constellation for pilotless communications over Wiener phase noise channels. - Shachar Shayovitz; Dan Raphaeli (GLOBECOM, 2013)

Message Passing Algorithms for Phase Noise Tracking Using Tikhonov Mixtures. - Shachar Shayovitz; Dan Raphaeli (IEEE Trans. Commun., 2016)

Redundancy Capacity Theorem for On-Line Learning Under a Certain Form of Hypotheses Class. - Shachar Shayovitz; Meir Feder (ITW, 2018)

Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems. - Shachar Shayovitz; Dan Raphaeli (SSP, 2018)

Minimax Active Learning Via Minimal Model Capacity. - Shachar Shayovitz; Meir Feder (MLSP, 2019)

Universal Active Learning via Conditional Mutual Information Minimization. - Shachar Shayovitz; Meir Feder (IEEE J. Sel. Areas Inf. Theory, 2021)

Active Learning for Individual Data via Minimal Stochastic Complexity. - Shachar Shayovitz; Meir Feder (Allerton, 2022)

Low-Complexity Self-Interference Cancellation for Multiple Access Full Duplex Systems. - Shachar Shayovitz; Andrey Krestiantsev; Dan Raphaeli (Sensors, 2022)

MIMO Detection via Gaussian Mixture Expectation Propagation: A Bayesian Machine Learning Approach for High-Order High-Dimensional MIMO Systems. - Shachar Shayovitz; Doron Ezri; Yoav Levinbook (CoRR, 2024)

Deep Individual Active Learning: Safeguarding against Out-of-Distribution Challenges in Neural Networks. - Shachar Shayovitz; Koby Bibas; Meir Feder (Entropy, 2024)

Active Learning via Predictive Normalized Maximum Likelihood Minimization. - Shachar Shayovitz; Meir Feder (IEEE Trans. Inf. Theory, 2024)