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Semi-supervised Invertible Neural Operators for Bayesian Inverse
  Problems

Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems

6 September 2022
Sebastian Kaltenbach
P. Perdikaris
P. Koutsourelakis
ArXivPDFHTML

Papers citing "Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems"

5 / 5 papers shown
Title
DGNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling
Yaohua Zang
P. Koutsourelakis
AI4CE
54
0
0
10 Feb 2025
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
Da Long
Zhitong Xu
Qiwei Yuan
Yin Yang
Shandian Zhe
AI4CE
69
5
0
18 Feb 2024
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
Jan-Philipp von Bassewitz
Sebastian Kaltenbach
P. Koumoutsakos
AI4CE
35
1
0
01 Feb 2024
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
205
2,282
0
18 Oct 2020
A Stein variational Newton method
A Stein variational Newton method
Gianluca Detommaso
Tiangang Cui
Alessio Spantini
Youssef Marzouk
Robert Scheichl
61
114
0
08 Jun 2018
1