A Contrastive Objective for Learning Disentangled Representations. - Jonathan Kahana; Yedid Hoshen (ECCV (26), 2022)

Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors. - Niv Cohen; Jonathan Kahana; Yedid Hoshen (CoRR, 2022)

Improving Zero-Shot Models with Label Distribution Priors. - Jonathan Kahana; Niv Cohen; Yedid Hoshen (CoRR, 2022)

Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors. - Niv Cohen; Jonathan Kahana; Yedid Hoshen (ICLR, 2023)

Recovering the Pre-Fine-Tuning Weights of Generative Models. - Eliahu Horwitz; Jonathan Kahana; Yedid Hoshen (ICML, 2024)

Dataset Size Recovery from LoRA Weights. - Mohammad Salama; Jonathan Kahana; Eliahu Horwitz; Yedid Hoshen (CoRR, 2024)

Representing Model Weights with Language using Tree Experts. - Eliahu Horwitz; Bar Cavia; Jonathan Kahana; Yedid Hoshen (CoRR, 2024)

Learning on Model Weights using Tree Experts. - Eliahu Horwitz; Bar Cavia; Jonathan Kahana; Yedid Hoshen (CVPR, 2025)

Deep Linear Probe Generators for Weight Space Learning. - Jonathan Kahana; Eliahu Horwitz; Imri Shuval; Yedid Hoshen (ICLR, 2025)

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights. - Jonathan Kahana; Or Nathan; Eliahu Horwitz; Yedid Hoshen (CoRR, 2025)

Charting and Navigating Hugging Face's Model Atlas. - Eliahu Horwitz; Nitzan Kurer; Jonathan Kahana; Liel Amar; Yedid Hoshen (CoRR, 2025)