Auto-weighted Bayesian physics-informed neural networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution
type: Item
instance of: scholarly article
title: Auto-weighted Bayesian physics-informed neural networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution
author: Sarah Perez
author: Philippe Poncet
published in: Computational Geosciences
publication date: 2025-01-14T00:00:00Z
Mathematics Subject Classification ID: 86A22
Mathematics Subject Classification ID: 86A32
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7966505
zbMATH Keywords: Hamiltonian Monte Carlo
zbMATH Keywords: uncertainty quantification
zbMATH Keywords: multi-objective training
zbMATH Keywords: imaging inverse problem
zbMATH Keywords: pore-scale porous media
zbMATH Keywords: artificial intelligence
zbMATH Keywords: Bayesian physics-informed neural networks
MaRDI profile type: Publication
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DOI: 10.1007/S10596-024-10313-X
description: scientific article; zbMATH DE number 7966505