The Loss Floor of Denoising Score Matching: Fisher Geometry from Schr\"odinger Bridges
Denoising score matching trains diffusion models by regressing onto a conditional score, although generation ultimately requires the marginal score, and derives the result from a Schr"odinger bridge variational principle, in which the ideal objective arises as excess path-space relative entropy.