Jonathan Kahana

5 papers · 2022–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ICLR (2) CVPR (1) ECCV (1) ICML (1)

Top co-authors

Yedid Hoshen (5) Eliahu Horwitz (3) Bar Cavia (1) Imri Shuval (1) Niv Cohen (1)

Research topics

Machine Learning (3) Core Methods (3) Artificial Intelligence (2) Deep Learning (2) Core AI (2) Computer Vision (1) Analysis (1) Architectures (1) Learning Types (1) Models (1) Optimization & Theory (1)

Keywords

representation learning (1) anomaly detection (1) density estimation (1) generalization error (1) linear classifier (1) model weight (1) zero-shot classification (1) probing method (1) permutation symmetry (1) image anomaly (1) nuisance factor (1) weight embedding (1) large-scale model (1) weight space learning (1) deep linear architecture (1) aligned mistral (1) lora fine-tuned models (1) personalized stable diffusion (1) pre-fine-tuning weights (1) spectral detuning (1)

Papers

Deep Linear Probe Generators for Weight Space Learning ICLR 2025 Learning on Model Weights using Tree Experts CVPR 2025 Recovering the Pre-Fine-Tuning Weights of Generative Models ICML 2024 Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors ICLR 2023 A Contrastive Objective for Learning Disentangled Representations ECCV 2022