March 14, 2024, 4:43 a.m. | Xunpeng Huang, Hanze Dong, Yifan Hao, Yi-An Ma, Tong Zhang

cs.LG updates on

arXiv:2307.02037v3 Announce Type: replace-cross
Abstract: We propose a Monte Carlo sampler from the reverse diffusion process. Unlike the practice of diffusion models, where the intermediary updates -- the score functions -- are learned with a neural network, we transform the score matching problem into a mean estimation one. By estimating the means of the regularized posterior distributions, we derive a novel Monte Carlo sampling algorithm called reverse diffusion Monte Carlo (rdMC), which is distinct from the Markov chain Monte Carlo …

abstract arxiv cs.lg diffusion diffusion models functions math.oc mean network neural network posterior practice process type updates

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