Refael, Yehonathan

7 publications

TMLR 2026 Lorenza: Enhancing Generalization in Low-Rank Gradient LLM Training via Efficient Zeroth-Order Adaptive SAM Yehonathan Refael, Iftach Arbel, Ofir Lindenbaum, Tom Tirer

ICLR 2026 No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks Yehonathan Refael, Guy Smorodinsky, Ofir Lindenbaum, Itay Safran

ICLR 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

NeurIPS 2025 SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training Yehonathan Refael, Guy Smorodinsky, Tom Tirer, Ofir Lindenbaum

TMLR 2025 Unveiling Multiple Descents in Unsupervised Autoencoders Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum

TMLR 2024 Learning $k$-Level Structured Sparse Neural Networks Using Group Envelope Regularization Yehonathan Refael, Iftach Arbel, Wasim Huleihel

JMLR 2024 Mathematical Framework for Online Social Media Auditing Wasim Huleihel, Yehonathan Refael