The paper defines the Conformal Hallucination Estimation Metric (CHEM) that localizes hallucination-prone regions in image reconstruction models via multiscale representations and distribution-free conformal regression.
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks.Applied and Computational Harmonic Analysis, page 101797, 2025
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CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing
The paper defines the Conformal Hallucination Estimation Metric (CHEM) that localizes hallucination-prone regions in image reconstruction models via multiscale representations and distribution-free conformal regression.