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Diffusion models can be trained to learn the mapping between parameter space and observable space for solving inverse problems

A DM is trained to learn the mapping between the parameter space and the observable space.
Machine Learning (Statistics)30 Aug 2026

http://arxiv.org/abs/2608.27080v1