Mathematical Framework for Online Social Media Regulation. - Wasim Huleihel; Yehonathan Refael (CoRR, 2022)

Learning k-Level Sparse Neural Networks Using a New Generalized Group Sparse Envelope Regularization. - Yehonathan Refael; Iftach Arbel; Wasim Huleihel (CoRR, 2022)

Sparse regularization via bidualization. - Amir Beck; Yehonathan Refael (J. Glob. Optim., 2022)

SLIP: Securing LLMs IP Using Weights Decomposition. - Yehonathan Refael; Adam Hakim; Lev Greenberg; Tal Aviv; Satya Lokam; Ben Fishman; Shachar Seidman (CoRR, 2024)

TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text. - Iftach Arbel; Yehonathan Refael; Ofir Lindenbaum (CoRR, 2024)

FineGates: LLMs Finetuning with Compression using Stochastic Gates. - Jonathan Svirsky; Yehonathan Refael; Ofir Lindenbaum (CoRR, 2024)

Mathematical Framework for Online Social Media Auditing. - Wasim Huleihel; Yehonathan Refael (J. Mach. Learn. Res., 2024)

Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization. - Yehonathan Refael; Iftach Arbel; Wasim Huleihel (Trans. Mach. Learn. Res., 2024)

AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning. - Yehonathan Refael; Jonathan Svirsky; Boris Shustin; Wasim Huleihel; Ofir Lindenbaum (ICLR, 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, 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, 2025)

SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training. - Yehonathan Refael; Guy Smorodinsky; Tom Tirer; Ofir Lindenbaum (CoRR, 2025)