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Hybridndiff-UQ: Uncertainty quantification for hybrid neural differentiable modeling.

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第一作者： Deepak,Akhare

第一单位： Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA.

作者： Deepak,Akhare ^[1] ; Tengfei,Luo ^[2] ; Jian-Xun,Wang ^[3]

作者单位： Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA. ^[1] Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA.;Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, USA. ^[2] Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA.;Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA. ^[3]

关键词 Differentiable programming Grey box modeling Scalable bayesian learning Scientific machine learning Uncertainty quantification

DOI 10.1016/j.taml.2025.100609

PMID 42078913

发布时间 2026-05-05

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2026年16卷2期

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