Learned coupled inversion for carbon sequestration monitoring and
forecasting with Fourier neural operators

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators

27 March 2022

Felix J. Herrmann

Papers citing "Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators"

7 / 7 papers shown

Title
Solving multiphysics-based inverse problems with learned surrogates and constraints Ziyi Yin Rafael Orozco M. Louboutin Felix J. Herrmann AI4CE 66 9 0 18 Jul 2023
Towards Stability of Autoregressive Neural Operators Michael McCabe P. Harrington Shashank Subramanian Jed Brown AI4CE 34 17 0 18 Jun 2023
Learned multiphysics inversion with differentiable programming and machine learning M. Louboutin Ziyi Yin Rafael Orozco Thomas J. Grady Ali Siahkoohi G. Rizzuti Philipp A. Witte O. Møyner Gerard Gorman Felix J. Herrmann AI4CE 18 10 0 12 Apr 2023
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation Jose Antonio Lara Benitez Takashi Furuya F. Faucher Anastasis Kratsios X. Tricoche Maarten V. de Hoop 30 14 0 27 Jan 2023
$Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator$ Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator Ming Zhong Zhenya Yan 8 14 0 29 Aug 2022
Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs Thomas J. Grady R. Khan M. Louboutin Ziyi Yin Philipp A. Witte Ranveer Chandra Russell J. Hewett Felix J. Herrmann AI4CE 10 33 0 04 Apr 2022
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 2,272 0 18 Oct 2020