Mengwu Guo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Wavelet Synopses

Gaussian Process

Top Venues

Appl. Math. Lett.

Comput. Math. Appl.

Commun. Nonlinear Sci. Numer. Simul.

Publications

Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo
Recurrent Deep Kernel Learning of Dynamical Systems. CoRR (2024)
Tjeerd Jan Heeringa, Christoph Brune, Mengwu Guo
Sparsifying dimensionality reduction of PDE solution data with Bregman learning. CoRR (2024)
Dongwei Ye, Mengwu Guo
Gaussian process learning of nonlinear dynamics. Commun. Nonlinear Sci. Numer. Simul. 138 (2024)
Dongwei Ye, Mengwu Guo
Gaussian process learning of nonlinear dynamics. CoRR (2023)
Dongwei Ye, Mengwu Guo
Bayesian approach to Gaussian process regression with uncertain inputs. CoRR (2023)
Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz
Multi-fidelity reduced-order surrogate modeling. CoRR (2023)
Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. Comput. Math. Appl. 149 (2023)
Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. CoRR (2023)
Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox
Bayesian operator inference for data-driven reduced-order modeling. CoRR (2022)
Paolo Conti, Mengwu Guo, Andrea Manzoni, Jan S. Hesthaven
Multi-fidelity surrogate modeling using long short-term memory networks. CoRR (2022)
Nicolò Botteghi, Mengwu Guo, Christoph Brune
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR (2022)
Mengwu Guo, Andrea Manzoni, Maurice Amendt, Paolo Conti, Jan S. Hesthaven
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities. CoRR (2021)
Mengwu Guo
A brief note on understanding neural networks as Gaussian processes. CoRR (2021)
Mengwu Guo, Ehsan Haghighat
An energy-based error bound of physics-informed neural network solutions in elasticity. CoRR (2020)
Mengwu Guo, Hongzhi Zhong
Constitutive-relation-error-based a posteriori error bounds for a class of elliptic variational inequalities. Appl. Math. Lett. 71 (2017)
Mengwu Guo, Hongzhi Zhong
Strict upper and lower bounds for quantities of interest in static response sensitivity analysis. CoRR (2016)
Mengwu Guo, Hongzhi Zhong
th-order Fredholm integro-differential equations. Int. J. Comput. Math. 93 (10) (2016)