Decoupled Diffusion Sampling for Inverse Problems on Function Spaces

arXiv:2601.23280v2 Announce Type: replace-cross Abstract: We propose a data-efficient, physics-aware generative framework in function space for inverse PDE problems. Existing plug-and-play diffusion posterior samplers represent physics implicitly through joint coefficient-solu...

🔗 Read more: https://arxiv.org/abs/2601.23280

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