Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders

25 February 2021

Papers citing "Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders"

3 / 3 papers shown

Title
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction Andrey A. Popov A. Sarshar Austin Chennault Adrian Sandu 17 2 0 14 Jul 2022
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation Austin Chennault Andrey A. Popov Amit N. Subrahmanya R. Cooper Ali Haisam Muhammad Rafid Anuj Karpatne Adrian Sandu 31 10 0 16 Nov 2021
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder R. Cooper Andrey A. Popov Adrian Sandu 23 4 0 27 Aug 2021