Ziv Aharoni

Orcid: 0000-0003-0204-4034

According to our database1, Ziv Aharoni authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data-Driven Optimization of Directed Information Over Discrete Alphabets.
IEEE Trans. Inf. Theory, 2024

The Duality Upper Bound for Finite-State Channels with Feedback.
CoRR, 2024

Neural Estimation of Multi-User Capacity Regions Over Discrete Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Code Rate Optimization via Neural Polar Decoders.
Proceedings of the IEEE International Symposium on Information Theory, 2024

2023
Neural Estimation and Optimization of Directed Information Over Continuous Spaces.
IEEE Trans. Inf. Theory, August, 2023

Data-Driven Neural Polar Codes for Unknown Channels With and Without Memory.
CoRR, 2023

Neural Estimation of Multi-User Capacity Regions.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Data-Driven Polar Codes for Unknown Channels With and Without Memory.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
Feedback Capacity of Ising Channels With Large Alphabet via Reinforcement Learning.
IEEE Trans. Inf. Theory, 2022

Optimizing Estimated Directed Information over Discrete Alphabets.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Density Estimation of Processes with Memory via Donsker Vardhan.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2020
Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet.
CoRR, 2020

Capacity of Continuous Channels with Memory via Directed Information Neural Estimator.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Brief Announcement: Gradual Learning of Deep Recurrent Neural Network.
Proceedings of the Cyber Security Cryptography and Machine Learning, 2018

2017
Gradual Learning of Deep Recurrent Neural Networks.
CoRR, 2017


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