hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of
Data with Complex Predictive Models under Uncertainty

hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty

1 December 2021

Youssef Marzouk

Papers citing "hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty"

8 / 8 papers shown

Title
Non-parametric Inference for Diffusion Processes: A Computational Approach via Bayesian Inversion for PDEs Maximilian Kruse Sebastian Krumscheid 16 0 0 04 Nov 2024
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 16 11 0 03 Sep 2023
Principal Feature Detection via $Φ$ -Sobolev Inequalities Matthew T.C. Li Youssef Marzouk O. Zahm 8 8 0 10 May 2023
Infinite-Dimensional Diffusion Models Jakiw Pidstrigach Youssef Marzouk Sebastian Reich Sven Wang 29 10 0 20 Feb 2023
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models Terrence Alsup Tucker Hartland Benjamin Peherstorfer N. Petra 11 1 0 06 Dec 2022
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning Thomas O'Leary-Roseberry Peng Chen Umberto Villa Omar Ghattas AI4CE 17 39 0 21 Jun 2022
A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems Matthew M. Dunlop G. Stadler BDL 6 6 0 22 Feb 2022
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,260 0 09 Jun 2012