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Yu-Hong Yeung

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Journal Articles

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2024
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  - journals/jcphy/YeungBT24
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Yu-Hong Yeung, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Gaussian process regression and conditional Karhunen-Loève models for data assimilation in inverse problems. J. Comput. Phys. 502: 112788 (2024)

Informal and Other Publications

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2023
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  - journals/corr/abs-2301-11279
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Yu-Hong Yeung, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems. CoRR abs/2301.11279 (2023)
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  - journals/corr/abs-2307-02572
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Yu-Hong Yeung, Ramakrishna Tipireddy, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling. CoRR abs/2307.02572 (2023)
2021
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  - journals/corr/abs-2108-00037
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Yu-Hong Yeung, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems. CoRR abs/2108.00037 (2021)

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