arXiv Machine Learning June 2, 2026 By Pengfei Jin, Na Li, Quanzheng Li

Measurement Geometry and Design for Trustworthy Generative Inverse Problems

Read the original on arXiv Machine Learning →

arXiv:2606. 02309v1 Announce Type: new Abstract: Generative models are increasingly used as priors for inverse problems, but their ability to produce realistic images creates a basic trust problem: a plausible reconstruction may be supported by the measurements, or it may be filled in by the prior along unobserved directions.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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