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stat.ME2026
Self-Supervised Conformal Prediction with Equivariant Bootstrapping for Image Uncertainty Quantification
Henry J. Aldridge, Tobías I. Liaudat, Marcelo Pereyra +1
Inverse problems are ubiquitous in modern scientific studies and involve recovering an underlying signal from noisy observations often transformed by a measurement operator. These…
stat.ME2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Hong Ye Tan, Ziruo Cai, Marcelo Pereyra +3
Imaging is a standard example of an inverse problem, where the task of reconstructing a ground truth from a noisy measurement is ill-posed. Recent state-of-the-art approaches for i…