arXiv Machine Learning
1d ago
Priors learned from legacy reconstructions inherit undetectable overconfidence
arXiv:2607. 21721v3 Announce Type: replace-cross Abstract: Where truths are scarce (e.
Prior laundering: learned priors with inherited, undetectable overconfidence
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.
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The Right Measure for Physics-Constrained Generation: A Co-Area Correction for Posterior-Consistent PDE Inverse Problems
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Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference
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