Ziv Aharoni

I’m a postdoctoral associate in Electrical and Computer Engineering at Duke University, working with Henry D. Pfister.

I develop information-theoretic methods for learning, generation, and reliable communication.

Portrait of Ziv Aharoni

Selected publications

Conservation-law curves for masked, uniform replacement, and Gaussian noise paths

Conservation Laws for Diffusion Models

Ziv Aharoni and Henry D. Pfister

A unified information-theoretic account of why denoising objectives characterize likelihood across discrete and continuous diffusion.

  1. 2026

    Optimized Polar Codes via Mutual Information Maximization with Neural Polar Decoders

    Ziv Aharoni, Bashar Huleihel, Henry D. Pfister, and Haim H. Permuter

    IEEE Transactions on Communications. DOI Code

  2. 2025

    Neural Polar Decoders for DNA Data Storage

    Ziv Aharoni and Henry D. Pfister

    IEEE Journal on Selected Areas in Information Theory. Summary DOI arXiv

  3. 2024

    Data-Driven Neural Polar Decoders for Unknown Channels with and without Memory

    Ziv Aharoni, Bashar Huleihel, Henry D. Pfister, and Haim H. Permuter

    IEEE Transactions on Information Theory. DOI arXiv

  4. 2023

    Neural Estimation and Optimization of Directed Information over Continuous Spaces

    Dor Tsur, Ziv Aharoni, Ziv Goldfeld, and Haim H. Permuter

    IEEE Transactions on Information Theory. DOI arXiv

  5. 2022

    Feedback Capacity of Ising Channels with Large Alphabet via Reinforcement Learning

    Ziv Aharoni, Oron Sabag, and Haim H. Permuter

    IEEE Transactions on Information Theory. DOI arXiv