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ORCIDYehonathan Refael
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2020 – today
- 2026
[i14]Jonathan Svirsky, Yehonathan Refael, Ofir Lindenbaum:
Train Less, Infer Faster: Efficient Model Finetuning and Compression via Structured Sparsity. CoRR abs/2602.09169 (2026)- 2025
- [j4]Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum:
Unveiling Multiple Descents in Unsupervised Autoencoders. Trans. Mach. Learn. Res. 2025 (2025) - [c1]Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum:
AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning. ICLR 2025 - [i13]Yehonathan Refael, Iftach Arbel, Ofir Lindenbaum
, Tom Tirer:
LORENZA: Enhancing Generalization in Low-Rank Gradient LLM Training via Efficient Zeroth-Order Adaptive SAM. CoRR abs/2502.19571 (2025) - [i12]Aviad Barzilai, Yotam Gigi, Amr Helmy, Vered Silverman, Yehonathan Refael, Bolous Jaber, Tomer Shekel, George Leifman, Genady Beryozkin:
A Recipe for Improving Remote Sensing VLM Zero Shot Generalization. CoRR abs/2503.08722 (2025) - [i11]Yehonathan Refael, Guy Smorodinsky, Tom Tirer, Ofir Lindenbaum:
SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training. CoRR abs/2505.24749 (2025) - [i10]Yehonathan Refael, Guy Smorodinsky, Ofir Lindenbaum, Itay Safran:
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks. CoRR abs/2509.21296 (2025) - [i9]Yehonathan Refael, Amit Aides, Aviad Barzilai, George Leifman, Genady Beryozkin, Vered Silverman, Bolous Jaber, Tomer Shekel:
On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration. CoRR abs/2510.17670 (2025) - [i8]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:
Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning. CoRR abs/2510.18318 (2025) - [i7]Racchit Jain, Satya Lokam, Yehonathan Refael, Adam Hakim, Lev Greenberg, Jay Tenenbaum:
SLIP-SEC: Formalizing Secure Protocols for Model IP Protection. CoRR abs/2510.24999 (2025) - 2024
- [j3]Wasim Huleihel, Yehonathan Refael:
Mathematical Framework for Online Social Media Auditing. J. Mach. Learn. Res. 25: 64:1-64:40 (2024) - [j2]Yehonathan Refael, Iftach Arbel, Wasim Huleihel:
Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization. Trans. Mach. Learn. Res. 2024 (2024) - [i6]Yehonathan Refael, Adam Hakim, Lev Greenberg, Tal Aviv, Satya Lokam, Ben Fishman, Shachar Seidman:
SLIP: Securing LLMs IP Using Weights Decomposition. CoRR abs/2407.10886 (2024) - [i5]Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum:
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning. CoRR abs/2410.17881 (2024) - [i4]Iftach Arbel, Yehonathan Refael, Ofir Lindenbaum:
TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text. CoRR abs/2410.21479 (2024) - [i3]Jonathan Svirsky, Yehonathan Refael, Ofir Lindenbaum:
FineGates: LLMs Finetuning with Compression using Stochastic Gates. CoRR abs/2412.12951 (2024) - 2022
- [j1]Amir Beck, Yehonathan Refael:
Sparse regularization via bidualization. J. Glob. Optim. 82(3): 463-482 (2022) - [i2]Wasim Huleihel, Yehonathan Refael:
Mathematical Framework for Online Social Media Regulation. CoRR abs/2209.05550 (2022) - [i1]Yehonathan Refael, Iftach Arbel, Wasim Huleihel:
Learning k-Level Sparse Neural Networks Using a New Generalized Group Sparse Envelope Regularization. CoRR abs/2212.12921 (2022)
Coauthor Index
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