| Dreamix: Video Diffusion Models are General Video Editors E Molad, E Horwitz, D Valevski, AR Acha, Y Matias, Y Pritch, Y Leviathan, ... arXiv preprint arXiv:2302.01329, 2023 | 175 | 2023 |
| Back to the feature: classical 3d features are (almost) all you need for 3d anomaly detection E Horwitz, Y Hoshen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 71* | 2023 |
| Image shape manipulation from a single augmented training sample Y Vinker, E Horwitz, N Zabari, Y Hoshen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 38* | 2021 |
| Anomaly detection requires better representations T Reiss, N Cohen, E Horwitz, R Abutbul, Y Hoshen European Conference on Computer Vision, 56-68, 2022 | 29 | 2022 |
| Conffusion: Confidence Intervals for Diffusion Models E Horwitz, Y Hoshen arXiv preprint arXiv:2211.09795, 2022 | 27 | 2022 |
| Recovering the pre-fine-tuning weights of generative models E Horwitz, J Kahana, Y Hoshen arXiv preprint arXiv:2402.10208, 2024 | 10 | 2024 |
| Real-Time Deepfake Detection in the Real-World B Cavia, E Horwitz, T Reiss, Y Hoshen arXiv preprint arXiv:2406.09398, 2024 | 6 | 2024 |
| On the origin of llamas: Model tree heritage recovery E Horwitz, A Shul, Y Hoshen arXiv preprint arXiv:2405.18432, 2024 | 2 | 2024 |
| Distilling datasets into less than one image A Shul, E Horwitz, Y Hoshen arXiv preprint arXiv:2403.12040, 2024 | 2 | 2024 |
| Dataset Size Recovery from Fine-Tuned Weights M Salama, J Kahana, E Horwitz, Y Hoshen | 2* | |
| Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights J Kahana, O Nathan, E Horwitz, Y Hoshen arXiv preprint arXiv:2502.09619, 2025 | | 2025 |
| Representing Model Weights with Language using Tree Experts E Horwitz, B Cavia, J Kahana, Y Hoshen arXiv preprint arXiv:2410.13569, 2024 | | 2024 |
| Deep Linear Probe Generators for Weight Space Learning J Kahana, E Horwitz, I Shuval, Y Hoshen arXiv preprint arXiv:2410.10811, 2024 | | 2024 |
| Unsupervised Model Tree Heritage Recovery E Horwitz, A Shul, Y Hoshen The Thirteenth International Conference on Learning Representations, 0 | | |
| Neural Network Weights as a New Data Modality K Schürholt, G Bouritsas, E Horwitz, D Lim, Y Gelberg, B Zhao, A Zhou, ... ICLR 2025 Workshop Proposals, 0 | | |
Yedid HoshenThe Hebrew University of JerusalemПідтверджена електронна адреса в mail.huji.ac.il