Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems

26 February 2021

Papers citing "Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems"

6 / 6 papers shown

Title
Dimension reduction via score ratio matching Ricardo Baptista Michael C. Brennan Youssef Marzouk 47 1 0 25 Oct 2024
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis Qiao Chen Elise Arnaud Ricardo Baptista O. Zahm 109 1 0 19 Jun 2024
Evaluating the accuracy of Gaussian approximations in VSWIR imaging spectroscopy retrievals Kelvin M. Leung D. Thompson J. Susiluoto Jayanth Jagalur A. Braverman Youssef Marzouk 47 0 0 22 Aug 2023
Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method Max Ehre Rafael Flock M. Fußeder I. Papaioannou D. Štraub 44 3 0 07 Jun 2022
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty Ki-tae Kim Umberto Villa M. Parno Youssef Marzouk Omar Ghattas N. Petra 82 19 0 01 Dec 2021
A unified performance analysis of likelihood-informed subspace methods Tiangang Cui X. Tong 64 26 0 07 Jan 2021