arXiv stat.ML
· Papers
Rao-Blackwellized Score Matching on Manifolds
arXiv:2605.25567v3 Announce Type: replace Abstract: We study denoising score matching (DSM) when data are drawn from an embedded manifold $M subset mathbb{R}^D$. We show that under ambient Gaussian corruption, the target has variance that diverges as the noise scale decreases and correct for it by regressing against