Velocity continuation with Fourier neural operators for accelerated uncertainty quantification

27 March 2022

Papers citing "Velocity continuation with Fourier neural operators for accelerated uncertainty quantification"

9 / 9 papers shown

Title
Deep Bayesian inference for seismic imaging with tasks Ali Siahkoohi G. Rizzuti Felix J. Herrmann BDL UQCV 63 21 0 10 Oct 2021
Learning by example: fast reliability-aware seismic imaging with normalizing flows Ali Siahkoohi Felix J. Herrmann OOD 72 13 0 13 Apr 2021
Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations J. Q. Toledo-Marín Geoffrey C. Fox J. Sluka J. Glazier MedIm AI4CE 56 8 0 10 Feb 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 504 2,448 0 18 Oct 2020
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach Ali Siahkoohi G. Rizzuti Felix J. Herrmann 54 20 0 01 Apr 2020
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification Ali Siahkoohi G. Rizzuti Felix J. Herrmann UQCV BDL 60 22 0 13 Jan 2020
Learned imaging with constraints and uncertainty quantification Felix J. Herrmann Ali Siahkoohi G. Rizzuti UQCV 68 23 0 13 Sep 2019
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,312 0 22 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014