Mengwu Guo

Orcid: 0000-0002-5541-437X

According to our database1, Mengwu Guo authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression.
Comput. Math. Appl., November, 2023

Gaussian process learning of nonlinear dynamics.
CoRR, 2023

Multi-fidelity reduced-order surrogate modeling.
CoRR, 2023

Bayesian approach to Gaussian process regression with uncertain inputs.
CoRR, 2023

2022
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data.
CoRR, 2022

Multi-fidelity surrogate modeling using long short-term memory networks.
CoRR, 2022

Bayesian operator inference for data-driven reduced-order modeling.
CoRR, 2022

2021
A brief note on understanding neural networks as Gaussian processes.
CoRR, 2021

Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities.
CoRR, 2021

2020
An energy-based error bound of physics-informed neural network solutions in elasticity.
CoRR, 2020

2017
Constitutive-relation-error-based a posteriori error bounds for a class of elliptic variational inequalities.
Appl. Math. Lett., 2017

2016
Weak form quadrature solution of 2<i>m</i>th-order Fredholm integro-differential equations.
Int. J. Comput. Math., 2016

Strict upper and lower bounds for quantities of interest in static response sensitivity analysis.
CoRR, 2016


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