Predicting silent failures of learned inference under restricted access: what measurement physics and prior information explain
arXiv:2610.28155v1 Announce Type: new Abstract: Learned priors are used to reconstruct regions that measurements barely reach, and to report uncertainty there. They can fail silently: the reported interval excludes the truth while every ground-truth-free diagnostic stays within its noise. We call s…
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- 2026-10-21 04:00 · arXiv stat.ML
Predicting silent failures of learned inference under restricted access: what measurement physics and prior information explain