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

2023Journal of Computational Physics引用 367

Model Reduction and Neural NetworksProbabilistic and Robust Engineering DesignGaussian Processes and Bayesian Inference

人工智能 Gaussian Processes and Bayesian Inference Model Reduction and Neural Networks Probabilistic and Robust Engineering Design

相关技术:Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

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发表期刊/会议: Journal of Computational Physics
发表日期: 2023-01-12
发表年份: 2023

关键词

Model Reduction and Neural NetworksProbabilistic and Robust Engineering DesignGaussian Processes and Bayesian Inference

作者查看全部 (5)

Ling Guo

George Em Karniadakis

Zongren Zou

Xuhui Meng

相关技术查看全部 (2)

Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

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