A self-supervised conformal prediction method uses SURE estimates of reconstruction error, instead of ground truth, to calibrate prediction sets for linear image restoration problems.
Efficient bayesian computation by proximal markov chain monte carlo: When langevin meets moreau,
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Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems
A self-supervised conformal prediction method uses SURE estimates of reconstruction error, instead of ground truth, to calibrate prediction sets for linear image restoration problems.