Yehonathan Refael

According to our database, Yehonathan Refael authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

SLIP-SEC: Formalizing Secure Protocols for Model IP Protection.

Racchit Jain, Satya Lokam, Yehonathan Refael, Adam Hakim, Lev Greenberg, Jay Tenenbaum

CoRR, October, 2025

Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning.

Aaron Bell, Amit Aides, Amr Helmy, Arbaaz Muslim, Aviad Barzilai, Aviv Slobodkin, Bolous Jaber, David Schottlander, George Leifman, Joydeep Paul, Mimi Sun, Nadav Sherman, Natalie Williams, Per Bjornsson, Roy Lee, Ruth Alcantara, Thomas Turnbull, Tomer Shekel, Vered Silverman, Yotam Gigi, Adam Boulanger, Alex Ottenwess, Ali Ahmadalipour, Anna Carter, Behzad Vahedi, Charles Elliott, David Andre, Elad Aharoni, Gia Jung, Hassler Thurston, Jacob Bien, Jamie McPike, Juliet Rothenberg, Kartik Hegde, Kel Markert, Kim Philipp Jablonski, Luc Houriez, Monica Bharel, Phing VanLee, Reuven Sayag, Sebastian Pilarski, Shelley Cazares, Shlomi Pasternak, Siduo Jiang, Thomas Colthurst, Yang Chen, Yehonathan Refael, Yochai Blau, Yuval Carny, Yael Maguire, Avinatan Hassidim, James Manyika, Tim Thelin, Genady Beryozkin, Gautam Prasad, Luke Barrington, Yossi Matias, Niv Efron, Shravya Shetty

CoRR, October, 2025

On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration.

Yehonathan Refael, Amit Aides, Aviad Barzilai, George Leifman, Genady Beryozkin, Vered Silverman, Bolous Jaber, Tomer Shekel

CoRR, October, 2025

No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks.

Yehonathan Refael, Guy Smorodinsky, Ofir Lindenbaum, Itay Safran

CoRR, September, 2025

SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training.

Yehonathan Refael, Guy Smorodinsky, Tom Tirer, Ofir Lindenbaum

CoRR, May, 2025

A Recipe for Improving Remote Sensing VLM Zero Shot Generalization.

Aviad Barzilai, Yotam Gigi, Amr Helmy, Vered Silverman, Yehonathan Refael, Bolous Jaber, Tomer Shekel, George Leifman, Genady Beryozkin

CoRR, March, 2025

LORENZA: Enhancing Generalization in Low-Rank Gradient LLM Training via Efficient Zeroth-Order Adaptive SAM.

Yehonathan Refael, Iftach Arbel, Ofir Lindenbaum, Tom Tirer

CoRR, February, 2025

Unveiling Multiple Descents in Unsupervised Autoencoders.

Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum

Trans. Mach. Learn. Res., 2025

AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning.

Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning <i>k</i>-Level Structured Sparse Neural Networks Using Group Envelope Regularization.

Yehonathan Refael, Iftach Arbel, Wasim Huleihel

Trans. Mach. Learn. Res., 2024

Mathematical Framework for Online Social Media Auditing.

Wasim Huleihel, Yehonathan Refael

J. Mach. Learn. Res., 2024

FineGates: LLMs Finetuning with Compression using Stochastic Gates.

Jonathan Svirsky, Yehonathan Refael, Ofir Lindenbaum

CoRR, 2024

TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text.

Iftach Arbel, Yehonathan Refael, Ofir Lindenbaum

CoRR, 2024

SLIP: Securing LLMs IP Using Weights Decomposition.

Yehonathan Refael, Adam Hakim, Lev Greenberg, Tal Aviv, Satya Lokam, Ben Fishman, Shachar Seidman

CoRR, 2024

2022

Sparse regularization via bidualization.

Amir Beck, Yehonathan Refael

J. Glob. Optim., 2022

Learning k-Level Sparse Neural Networks Using a New Generalized Group Sparse Envelope Regularization.

Yehonathan Refael, Iftach Arbel, Wasim Huleihel

CoRR, 2022

Mathematical Framework for Online Social Media Regulation.

Wasim Huleihel, Yehonathan Refael

CoRR, 2022