Jonathan Kahana

Orcid: 0000-0002-0775-197X

According to our database1, Jonathan Kahana authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Discovering Hidden Gems in Model Repositories.
CoRR, January, 2026

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

Deep Linear Probe Generators for Weight Space Learning.
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

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

2023
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Improving Zero-Shot Models with Label Distribution Priors.
CoRR, 2022

Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors.
CoRR, 2022

A Contrastive Objective for Learning Disentangled Representations.
Proceedings of the Computer Vision - ECCV 2022, 2022


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