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Yu-Lin Yang

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#machine learning Preprint Sep 2026

Rethinking Diffusion Segmentation: When Does It Rely on Its Noisy State, and Does Diffusion Matter?

These results identify supervision path as a determinant of state reliance in the audited methods and show that diffusion-specific computation often provides no deterministic endpoint advantage, including in methods that rely on the audited state properties.

Heng-Zhuo Yang, Yu-Ming Zeng, Yu-Lin Yang · 0 citations

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