Book Chapters:

[B1] Z. Aharoni, D. Tsur, Z. Goldfeld and H. H. Permuter, "Capacity Estimation using Machine Learning", In Machine Learning and Wireless Communications, Cambridge University Press, 2022.

Journal papers:

[J1] Z. Aharoni, O. Sabag, and H. H. Permuter, “Feedback Capacity of Ising Channels with Large Alphabet via Reinforcement Learning”, IEEE Transactions on information theory, 2022

[J2] D. Tsur, Z. Aharoni, Z. Goldfeld and H. H. Permuter, “Neural estimation and optimization of directed information over continuous spaces”,  IEEE Transactions on information theory, 2023

[J3] D. Tsur, Z. Aharoni, Z. Goldfeld and H. H. Permuter, “Data-Driven Optimization of Directed Information over Discrete Alphabets”,  IEEE Transactions on information theory, 2023

[J4]  Z. Aharoni, B. Huleihel, H. D. Pfister and H. H. Permuter, “Data-Driven Polar codes for Channels with Memory”,  IEEE Transactions on information theory, 2024

[J5] B. Huleihel, O. Sabag,  Z. Aharoni and H. H. Permuter, “The Duality Upper Bound for Finite State Channels with Feedback”,  IEEE Transactions on information theory, 2025

Preprints:

[P1] B. Huleihel, D. Tsur, Z. Aharoni, O. Sabag and H. H. Permuter, "Neural Estimation of Multi-User Capacity Regions"

[P2] Z. Aharoni, B. Huleihel, H. D. Pfister and H. H. Permuter, “Code Rate Optimization via Neural Polar Decoders”

[P3] Z. Aharoni, H. D. Pfister, “Neural Polar Decoders for DNA Data Storage Channel”

Conference papers:

[C1] Z. Aharoni, O. Sabag and H. H. Permuter, "Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning", IEEE International Symposium on Information Theory, 2019,  Finalist of the best Student Paper Award

[C2] Z. Aharoni, O. Sabag and H. H. Permuter, "Reinforcement Learning Technique for Finding the Feedback Capacity", International Zurich Seminar on Information and Communication, 2020

[C3]  Z. Aharoni, D. Tsur, Z. Goldfeld and H. H. Permuter, "Capacity of Continuous Channels with Memory via Directed Information Neural Estimator", IEEE International Symposium on Information Theory, 2020 (Invited)

[C4] Z. Aharoni, D. Tsur and H. H. Permuter, "Density Estimation of Processes with Memory via Donsker Vardhan", IEEE International Symposium on Information Theory, 2022

[C5] D. Tsur, Z. Aharoni, Z. Goldfeld and H. H. Permuter, "Optimizing Estimated Directed Information over Discrete Alphabets", IEEE International Symposium on Information Theory, 2022

[C6] Z. Aharoni, B. Huleihel, H. D. Pfister and H. H. Permuter, "Data-Driven Polar Codes for Unknown Channels with and without Memory", IEEE International Symposium on Information Theory, 2023

[C7] B. Huleihel, D. Tsur, Z. Aharoni, O. Sabag and H. H. Permuter, "Neural Estimation of Multi-User Capacity Regions", IEEE International Symposium on Information Theory, 2023

[C8] Z. Aharoni, B. Huleihel, H. D. Pfister and H. H. Permuter, "Data-Driven List Polar Decoder for Symmetric and Asymmetric Input Distributions", International Zurich Seminar on Information and Communication, 2024

[C9] Z. Aharoni, B. Huleihel, H. D. Pfister and H. H. Permuter, "Code Rate Optimization via Neural Polar Decoders", IEEE International Symposium on Information Theory, 2024

[C10] B. Huleihel, D. Tsur, Z. Aharoni, O. Sabag and H. H. Permuter, "Neural Estimation of Multi-User Capacity Regions Over Discrete Channels, IEEE International Symposium on Information Theory, 2024