\(\Phi\)-DVAE: physics-informed dynamical variational autoencoders for unstructured data assimilation
type: Item
instance of: scholarly article
title: \(\Phi\)-DVAE: physics-informed dynamical variational autoencoders for unstructured data assimilation
author: Alex Glyn-Davies
author: Connor Duffin
author: Ömer Deniz Akyildiz
author: M. Girolami
published in: Journal of Computational Physics
publication date: 2024-10-08T00:00:00Z
Mathematics Subject Classification ID: 68Txx
Mathematics Subject Classification ID: 65Cxx
Mathematics Subject Classification ID: 65Mxx
zbMATH DE Number: 7922784
zbMATH Keywords: data assimilation
zbMATH Keywords: nonlinear filtering
zbMATH Keywords: variational autoencoder
zbMATH Keywords: inverse problem
zbMATH Keywords: variational Bayes
MaRDI profile type: Publication
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DOI: 10.1016/J.JCP.2024.113293
description: scientific article; zbMATH DE number 7922784