The loss floor of denoising score matching: Fisher geometry from Schrödinger bridges
Read the original at arxiv.org→arXiv:2608.23916v1 Announce Type: new Abstract: Denoising score matching trains diffusion models by regressing onto a conditional score, although generation ultimately requires the marginal score. The two objectives...
Original headline: "The Loss Floor of Denoising Score Matching: Fisher Geometry from Schr\"odinger Bridges"
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- Aug 26, 04:00 UTC arXiv cs.LG lead source The Loss Floor of Denoising Score Matching: Fisher Geometry from Schr\"odinger Bridges