A self-supervised conformal prediction method with equivariant bootstrapping enables uncertainty quantification for ill-posed imaging inverse problems such as weak lensing mass mapping without requiring ground truth calibration data.
Wiener,Extrapolation, Interpolation, and Smoothing of Stationary Time Series: With Engineering Appli- cations
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Self-Supervised Conformal Prediction with Equivariant Bootstrapping for Image Uncertainty Quantification
A self-supervised conformal prediction method with equivariant bootstrapping enables uncertainty quantification for ill-posed imaging inverse problems such as weak lensing mass mapping without requiring ground truth calibration data.