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Approximation Families and the Statistical Efficiency of Denoising Score Matching

arXiv:2610.36205v1 Announce Type: new Abstract: We study score matching over finite-dimensional approximation spaces generated by gradients of eigenfunctions of the infinitesimal generator of a forward diffusion. We compare polynomial approximation under one-dimensional Ornstein-Uhlenbeck flow with…

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  1. 2026-10-28 04:00 · arXiv stat.ML
    Approximation Families and the Statistical Efficiency of Denoising Score Matching

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