Mengwu Guo

According to our database, Mengwu Guo authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems.

Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo

CoRR, 2024

Sparsifying dimensionality reduction of PDE solution data with Bregman learning.

Tjeerd Jan Heeringa, Christoph Brune, Mengwu Guo

CoRR, 2024

Recurrent Deep Kernel Learning of Dynamical Systems.

Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo

CoRR, 2024

Gaussian process learning of nonlinear dynamics.

Dongwei Ye, Mengwu Guo

Commun. Nonlinear Sci. Numer. Simul., 2024

2023

Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression.

Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino

Comput. Math. Appl., November, 2023

Multi-fidelity reduced-order surrogate modeling.

Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz

CoRR, 2023

Bayesian approach to Gaussian process regression with uncertain inputs.

Dongwei Ye, Mengwu Guo

CoRR, 2023

2022

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

Nicolò Botteghi, Mengwu Guo, Christoph Brune

CoRR, 2022

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

Paolo Conti, Mengwu Guo, Andrea Manzoni, Jan S. Hesthaven

CoRR, 2022

Bayesian operator inference for data-driven reduced-order modeling.

Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox

CoRR, 2022

2021

A brief note on understanding neural networks as Gaussian processes.

Mengwu Guo

CoRR, 2021

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

Mengwu Guo, Andrea Manzoni, Maurice Amendt, Paolo Conti, Jan S. Hesthaven

CoRR, 2021

2020

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

Mengwu Guo, Ehsan Haghighat

CoRR, 2020

2017

Constitutive-relation-error-based a posteriori error bounds for a class of elliptic variational inequalities.

Mengwu Guo, Hongzhi Zhong

Appl. Math. Lett., 2017

2016

Weak form quadrature solution of 2<i>m</i>th-order Fredholm integro-differential equations.

Mengwu Guo, Hongzhi Zhong

Int. J. Comput. Math., 2016

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

Mengwu Guo, Hongzhi Zhong

CoRR, 2016