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News/Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces
arxiv
PublishedJune 2, 2026 at 4:00 AM

Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces

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arXiv:2603.14798v2 Announce Type: replace-cross Abstract: We propose a machine-learning algorithm for Bayesian inverse problems in the function-space regime. Based on one-step generative transport, the method learns an amortized neural operator whose pushforward of a Gaussian source approximates the

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