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Jonathan Kahana

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 1:13 AM AMS

4

papers

42

total citations

papers (4)

A Contrastive Objective for Learning Disentangled Representations

Recovering the Pre-Fine-Tuning Weights of Generative Models

Deep Linear Probe Generators for Weight Space Learning

Learning on Model Weights using Tree Experts