Eliahu Horwitz

23 papers A* 5Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discovering Hidden Gems in Model Repositories.
CoRR
Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen
2025 J jnl
Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights.
CoRR
Jonathan Kahana, Or Nathan, Eliahu Horwitz, Yedid Hoshen
2025 J jnl
Charting and Navigating Hugging Face's Model Atlas.
CoRR
Eliahu Horwitz, Nitzan Kurer, Jonathan Kahana, Liel Amar, Yedid Hoshen
2025 A* conf
Deep Linear Probe Generators for Weight Space Learning.
ICLR
Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen
2025 J jnl
Distilling Datasets Into Less Than One Image.
Trans. Mach. Learn. Res.
Asaf Shul, Eliahu Horwitz, Yedid Hoshen
2025 A* conf
Learning on Model Weights using Tree Experts.
CVPR
Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid Hoshen
2025 A* conf
Unsupervised Model Tree Heritage Recovery.
ICLR
Eliahu Horwitz, Asaf Shul, Yedid Hoshen
2024 J jnl
Dataset Size Recovery from LoRA Weights.
CoRR
Mohammad Salama, Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen
2024 J jnl
Deep Linear Probe Generators for Weight Space Learning.
CoRR
Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen
2024 J jnl
Distilling Datasets Into Less Than One Image.
CoRR
Asaf Shul, Eliahu Horwitz, Yedid Hoshen
2024 J jnl
On the Origin of Llamas: Model Tree Heritage Recovery.
CoRR
Eliahu Horwitz, Asaf Shul, Yedid Hoshen
2024 J jnl
Real-Time Deepfake Detection in the Real-World.
CoRR
Bar Cavia, Eliahu Horwitz, Tal Reiss, Yedid Hoshen
2024 A* conf
Recovering the Pre-Fine-Tuning Weights of Generative Models.
ICML
Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen
2024 J jnl
Recovering the Pre-Fine-Tuning Weights of Generative Models.
CoRR
Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen
2024 J jnl
Representing Model Weights with Language using Tree Experts.
CoRR
Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid Hoshen
2023 — conf
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection.
CVPR Workshops
Eliahu Horwitz, Yedid Hoshen
2023 J jnl
Dreamix: Video Diffusion Models are General Video Editors.
CoRR
Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav-Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen
2022 J jnl
An Empirical Investigation of 3D Anomaly Detection and Segmentation.
CoRR
Eliahu Horwitz, Yedid Hoshen
2022 — conf
Anomaly Detection Requires Better Representations.
ECCV Workshops (4)
Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
2022 J jnl
Anomaly Detection Requires Better Representations.
CoRR
Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
2022 J jnl
Conffusion: Confidence Intervals for Diffusion Models.
CoRR
Eliahu Horwitz, Yedid Hoshen
2021 A* conf
Image Shape Manipulation from a Single Augmented Training Sample.
ICCV
Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen
2020 J jnl
Deep Single Image Manipulation.
CoRR
Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen