Learned multiphysics inversion with differentiable programming and machine learning

12 April 2023

Papers citing "Learned multiphysics inversion with differentiable programming and machine learning"

6 / 6 papers shown

Title
InvertibleNetworks.jl: A Julia package for scalable normalizing flows Rafael Orozco Philipp A. Witte M. Louboutin Ali Siahkoohi G. Rizzuti Bas Peters Felix J. Herrmann 38 9 0 20 Dec 2023
WISE: full-Waveform variational Inference via Subsurface Extensions Ziyi Yin Rafael Orozco M. Louboutin Felix J. Herrmann 57 16 0 11 Dec 2023
Inference of CO2 flow patterns -- a feasibility study A. Gahlot Huseyin Tuna Erdinc Rafael Orozco Ziyi Yin Felix J. Herrmann 23 7 0 01 Nov 2023
Solving multiphysics-based inverse problems with learned surrogates and constraints Ziyi Yin Rafael Orozco M. Louboutin Felix J. Herrmann AI4CE 77 9 0 18 Jul 2023
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 67 32 0 11 Jan 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 256 2,298 0 18 Oct 2020