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

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

6 October 2022
Lianghao Cao
Thomas O'Leary-Roseberry
Prashant K. Jha
J. Oden
Omar Ghattas
ArXivPDFHTML

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

3 / 3 papers shown
Title
Derivative-Informed Neural Operator: An Efficient Framework for
  High-Dimensional Parametric Derivative Learning
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
Fourier Neural Operator for Parametric Partial Differential Equations
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
203
2,254
0
18 Oct 2020
Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex
  Optimization
Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex Optimization
Thomas O'Leary-Roseberry
Nick Alger
Omar Ghattas
ODL
19
9
0
07 Feb 2020
1