Ori Shem-Ur

PhD student, Physics, Tel Aviv University

Joined

May 2023

Names

Ori Shem-Ur (Preferred)

Ori Shem Ur

Emails

****@mail.tau.ac.il (Confirmed)

Personal Links

Homepage

Career & Education History

PhD student

Physics, Tel Aviv University (tau.ac.il)

2024 – Present

MS student

Physics, Tel Aviv University (tau.ac.il)

2021 – 2024

Undergrad student

Physics, Tel Aviv University (tau.ac.il)

2011 – 2016

Advisors, Relations & Conflicts

Coauthor

Robin Walters

2025 – Present

Coauthor

Jakub Vrabel

2024 – Present

Coauthor

Khen Cohen

2024 – Present

Coauthor

David Krueger

2024 – Present

PhD Advisor

Yaron Oz

2021 – Present

Expertise

No areas of expertise listed

Publications

Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems
Ori Shem-Ur, Khen Cohen, Yaron Oz
- ICLR 2026 Poster
- Readers: Everyone
Neural Tangent Kernel Perspective on Parameter-Space Symmetries
Ori Shem-Ur, Jakub Vrabel, Robin Walters, Yaron Oz
- Submitted to ICLR 2026
- Readers: Everyone
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel, Ori Shem-Ur, Yaron Oz, David Krueger
- ICLR 2025 Poster
- Readers: Everyone
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel, Ori Shem-Ur, Yaron Oz, David Krueger
- SciForDL Oral
- Readers: Everyone
Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems
Ori Shem Ur, Yaron Oz
- Submitted to ICLR 2024
- Readers: Everyone

Ori Shem-Ur

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems

Neural Tangent Kernel Perspective on Parameter-Space Symmetries

Input Space Mode Connectivity in Deep Neural Networks

Input Space Mode Connectivity in Deep Neural Networks

Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems

Co-Authors