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Hao-Kun Tian

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#machine learning Preprint Sep 2026

Synth-JEPA: Joint Embedding Prediction for Renderer-Free Synthesizer Parameter Search

The introduction of Synth-JEPA, which learns mutually predictive audio and parameter representations from paired synthesizer data, and its matching quality continues to improve with additional test-time search, allowing compute to be traded for match quality.

B. Hayes, Hao-Kun Tian, Stefan Lattner · 0 citations