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Posterior-Variance-Based Error Quantification for Inverse Problems in
  Imaging

Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging

23 December 2022
Dominik Narnhofer
Andreas Habring
M. Holler
T. Pock
ArXivPDFHTML

Papers citing "Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging"

5 / 5 papers shown
Title
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper]
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper]
Andreas Habring
Alexander Falk
T. Pock
57
0
0
03 Feb 2025
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
L. Bogensperger
Dominik Narnhofer
Alexander Falk
Konrad Schindler
Thomas Pock
MedIm
43
3
0
28 May 2024
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
97
125
0
03 Oct 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
181
185
0
07 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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