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arXiv Machine Learning By Ali Siahkoohi, Sina Alemohammad

Prior laundering: learned priors with inherited, undetectable overconfidence

Read the original on arXiv Machine Learning →

arXiv:2607. 21721v1 Announce Type: cross Abstract: Learned generative priors are increasingly used for ill-posed Bayesian inverse problems, their posterior uncertainty treated as earned from data.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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