Eliahu Horwitz

According to our database1, Eliahu Horwitz authored at least 18 papers between 2020 and 2025.

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Bibliography

2025
Charting and Navigating Hugging Face's Model Atlas.
CoRR, March, 2025

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights.
CoRR, February, 2025

Distilling Datasets Into Less Than One Image.
Trans. Mach. Learn. Res., 2025

Deep Linear Probe Generators for Weight Space Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unsupervised Model Tree Heritage Recovery.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning on Model Weights using Tree Experts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Representing Model Weights with Language using Tree Experts.
CoRR, 2024

Dataset Size Recovery from LoRA Weights.
CoRR, 2024

Real-Time Deepfake Detection in the Real-World.
CoRR, 2024

On the Origin of Llamas: Model Tree Heritage Recovery.
CoRR, 2024

Recovering the Pre-Fine-Tuning Weights of Generative Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Dreamix: Video Diffusion Models are General Video Editors.
CoRR, 2023

Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Conffusion: Confidence Intervals for Diffusion Models.
CoRR, 2022

An Empirical Investigation of 3D Anomaly Detection and Segmentation.
CoRR, 2022

Anomaly Detection Requires Better Representations.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Image Shape Manipulation from a Single Augmented Training Sample.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Deep Single Image Manipulation.
CoRR, 2020


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