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Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons

Apostolos F. Psaros, Xuhui Meng, Zongren Zou, Ling Guo, George Em Karniadakis

2023Journal of Computational Physics388 citationsDOIOpen Access PDF

Topics & Concepts

Uncertainty quantificationComputer sciencePython (programming language)Machine learningInferenceArtificial intelligenceOperating systemModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignGaussian Processes and Bayesian Inference
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons | Litcius