Mengwu Guo
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- 2024
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Mark
Multi-fidelity reduced-order surrogate modelling
2024) In Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 480(2283).(
- Contribution to journal › Article
- 2023
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Mark
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression
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- Contribution to journal › Article
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Mark
Data-driven analysis of parametrized acoustic systems in the frequency domain
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- Contribution to journal › Article
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Mark
Multi-fidelity surrogate modeling using long short-term memory networks
(
- Contribution to journal › Article
- 2022
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Mark
Deep kernel learning of dynamical models from high-dimensional noisy data
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- Contribution to journal › Article
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Mark
Predictive Monitoring of Large-Scale Engineering Assets Using Machine Learning Techniques and Reduced-Order Modeling
(
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity
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- Contribution to journal › Article
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Mark
Multi-fidelity regression using artificial neural networks : Efficient approximation of parameter-dependent output quantities
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- Contribution to journal › Article
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Mark
Bayesian operator inference for data-driven reduced-order modeling
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- Contribution to journal › Article
- 2021
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Mark
A brief note on understanding neural networks as Gaussian processes
2021)(
- Working paper/Preprint › Preprint in preprint archive