Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems

6 October 2022

Papers citing "Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems"

5 / 5 papers shown

Title
Choosing observation operators to mitigate model error in Bayesian inverse problems Nada Cvetković H. Lie Harshit Bansal K. Veroy 18 3 0 12 Jan 2023
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning Thomas O'Leary-Roseberry Peng Chen Umberto Villa Omar Ghattas AI4CE 32 39 0 21 Jun 2022
Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive Residual Networks Thomas O'Leary-Roseberry Xiaosong Du A. Chaudhuri J. Martins Karen E. Willcox Omar Ghattas 30 22 0 14 Dec 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 238 2,298 0 18 Oct 2020
Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex Optimization Thomas O'Leary-Roseberry Nick Alger Omar Ghattas ODL 37 9 0 07 Feb 2020