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Publications

  1. Shachar Shayovitz, Dan Raphaeli, "Improved message passing algorithm for phase noise channels using optimal approximation of Tikhonov mixtures", In Proceedings of the 5th International Symposium on Communications Control and Signal Processing (ISCCSP), 2012. [pdf] [Poster]

  2. Shayovitz, Shachar, Raphaeli, Dan, "Efficient iterative decoding of LDPC in the presence of strong phase noise", In Proceedings of the 7th International Symposium on Turbo Codes and Iterative Information Processing (ISTC), 2012. [pdf ] [Presentation]

  3. Shachar Shayovitz, Dan Raphaeli, "Multiple hypotheses iterative decoding of LDPC in the presence of strong phase noise", In Proceedings of the IEEE 27th Convention of Electrical & Electronics Engineers in Israel (IEEEI), 2012 . [pdf ] [Presentation]

  4. Shachar Shayovitz, Dan Raphaeli, "A signal constellation for pilotless communications over Wiener phase noise channels", In Proceedings of the IEEE Global Communications Conference (GLOBECOM), 2013. [pdf] [Presentation]

  5. Shayovitz, Shachar; Raphaeli, Dan " Message passing algorithms for phase noise tracking using tikhonov mixtures", IEEE Transactions on Communications, 2016. [pdf]

  6. Shachar Shayovitz, Dan Raphaeli, "Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems", In Proceedings of the IEEE Statistical Signal Processing Workshop (SSP), 2018. [pdf] [Poster]

  7. Shachar Shayovitz, Meir Feder, "Redundancy Capacity Theorem for On-Line Learning Under a Certain Form of Hypotheses Class", In Proceedings of the IEEE Information Theory Workshop (ITW), 2018. [pdf] [Presentation]

  8. O. Longman, I. Bilik, S. Villeval, and S. Shayovitz, "Mitigation of Vehicle Vibration Effect on Automotive MIMO Radar",In Proceedings of the IEEE Radar Conference (RadarConf), 2019. [pdf]

  9. Shachar Shayovitz, Meir Feder, "Minimax Active Learning via Minimal Model Capacity", Presented in the IEEE Machine Learning for Signal Processing Workshop (MLSP), 2019. [pdf] [Presentation] (Best Paper Award Finalist).

  10. Shayovitz, Shachar, and Meir Feder. "Universal Active Learning via Conditional Mutual Information Minimization." IEEE Journal on Selected Areas in Information Theory, 2021 [pdf]

  11. Shayovitz, Shachar, Andrey Krestiantsev, and Dan Raphaeli. "Low-Complexity Self-Interference Cancellation for Multiple Access Full Duplex Systems" Sensors 22.4 (2022) [pdf]

  12. Shachar Shayovitz, Meir Feder, "Active Learning for Individual Data via Minimal Stochastic Complexity", Presented in the 58th Annual Allerton Conference on Communication, Control, and Computing, 2022. [pdf] [Presentation]

  13. Shachar Shayovitz, Koby Bibas and Meir Feder, "Deep Individual Active Learning: Safeguarding against Out-of-Distribution Challenges in Neural Networks" Entropy 26.2 (2024) [pdf] [ GitHub]

  14. Shachar Shayovitz, Meir Feder, "Active Learning via Predictive Normalized Maximum Likelihood Minimization" IEEE Transactions on Information Theory, 2024. [pdf]

  15. Shachar Shayovitz, Dan Raphaeli, "Correction to "Dynamically regularized RLS-DCD algorithm and its FPGA implementation", Unpublished October 2017. [pdf]

  16. M.Sc Thesis " Message passing algorithms for phase noise tracking using tikhonov mixtures", [Book] [Seminar Presentation]

  17. Ph.D Thesis "Information Theoretic Active Learning", [Book] [Seminar Presentation]