Jonathan Kahana

According to our database, Jonathan Kahana authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Representing Model Weights with Language using Tree Experts.

Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid Hoshen

CoRR, 2024

Deep Linear Probe Generators for Weight Space Learning.

Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen

CoRR, 2024

Dataset Size Recovery from LoRA Weights.

Mohammad Salama, Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen

CoRR, 2024

Recovering the Pre-Fine-Tuning Weights of Generative Models.

Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors.

Niv Cohen, Jonathan Kahana, Yedid Hoshen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Improving Zero-Shot Models with Label Distribution Priors.

Jonathan Kahana, Niv Cohen, Yedid Hoshen

CoRR, 2022

Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors.

Niv Cohen, Jonathan Kahana, Yedid Hoshen

CoRR, 2022

A Contrastive Objective for Learning Disentangled Representations.

Jonathan Kahana, Yedid Hoshen

Proceedings of the Computer Vision - ECCV 2022, 2022