Uncertainty Estimation for Computed Tomography with a Linearised Deep
Image Prior

Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior

28 February 2022

Javier Antorán

Riccardo Barbano

Johannes Leuschner

José Miguel Hernández-Lobato

Papers citing "Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior"

6 / 6 papers shown

Title
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes J. Lin Shreyas Padhy Bruno Mlodozeniec Javier Antorán José Miguel Hernández-Lobato 46 2 0 28 May 2024
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems Julian Tachella Marcelo Pereyra UQCV 31 7 0 18 Oct 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent J. Lin Javier Antorán Shreyas Padhy David Janz José Miguel Hernández-Lobato Alexander Terenin 31 23 0 20 Jun 2023
One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers Sriram Ravula Varun Gorti Bo Deng Swagato Chakraborty J. Pingenot B. Mutnury D. Wallace D. Winterberg Adam R. Klivans A. Dimakis 30 1 0 06 Jun 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series Patrick Ebel Vivien Sainte Fare Garnot M. Schmitt Jan Dirk Wegner Xiao Xiang Zhu 33 32 0 11 Apr 2023
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography Francisca Vasconcelos Bobby He Nalini Singh Yee Whye Teh BDL OOD UQCV 37 12 0 22 Feb 2022