Eliahu Horwitz Profile Photo

Hey, I'm Eliahu Horwitz

Pronounced eh • lee • yah • hoo, but you can call me Eli (eh • lee)

I am a PhD student in Computer Science at the Hebrew University of Jerusalem, researching Weight Space Learning—treating neural networks as data and developing models that operate on neural networks. I am advised by Prof. Yedid Hoshen.

My research focuses on recovering neural network training trajectories and learning effective weight-space representations, ultimately enabling new ways to analyze, retrieve, and possibly generate models.

Before transitioning into research, I was a self-taught software developer, working across the tech stack at companies ranging from small startups to large corporations. This hands-on experience continues to shape my approach, bridging theoretical insights with real-world applications.


Selected Publications

Model Atlas visualization showing neural network relationships

We Should Chart an Atlas of All the World's Models

NeurIPS 2025 - Position Paper
Eliahu Horwitz, Nitzan Kurer, Jonathan Kahana, Liel Amar, Yedid Hoshen
ProbeX method for learning on model weights using tree experts

Learning on Model Weights using Tree Experts

CVPR 2025
Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen

Unsupervised Model Tree Heritage Recovery

ICLR 2025
Eliahu Horwitz, Asaf Shul, Yedid Hoshen

Recovering the Pre-Fine-Tuning Weights of Generative Models

ICML 2024
Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen
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