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Mengwu Guo
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2020 – today
- 2025
- [i16]Nicolò Botteghi, Stefania Fresca, Mengwu Guo, Andrea Manzoni:
HypeRL: Parameter-Informed Reinforcement Learning for Parametric PDEs. CoRR abs/2501.04538 (2025) - [i15]Weihao Yan
, Christoph Brune
, Mengwu Guo:
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality. CoRR abs/2501.18258 (2025) - 2024
- [j4]Dongwei Ye
, Mengwu Guo
:
Gaussian process learning of nonlinear dynamics. Commun. Nonlinear Sci. Numer. Simul. 138: 108184 (2024) - [i14]Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo:
Recurrent Deep Kernel Learning of Dynamical Systems. CoRR abs/2405.19785 (2024) - [i13]Tjeerd Jan Heeringa, Christoph Brune
, Mengwu Guo:
Sparsifying dimensionality reduction of PDE solution data with Bregman learning. CoRR abs/2406.12672 (2024) - [i12]Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo:
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems. CoRR abs/2408.03455 (2024) - 2023
- [j3]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: 1-23 (2023) - [i11]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 abs/2302.08216 (2023) - [i10]Dongwei Ye
, Mengwu Guo:
Bayesian approach to Gaussian process regression with uncertain inputs. CoRR abs/2305.11586 (2023) - [i9]Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz:
Multi-fidelity reduced-order surrogate modeling. CoRR abs/2309.00325 (2023) - [i8]Dongwei Ye
, Mengwu Guo:
Gaussian process learning of nonlinear dynamics. CoRR abs/2312.12193 (2023) - 2022
- [i7]Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox:
Bayesian operator inference for data-driven reduced-order modeling. CoRR abs/2204.10829 (2022) - [i6]Paolo Conti, Mengwu Guo, Andrea Manzoni, Jan S. Hesthaven:
Multi-fidelity surrogate modeling using long short-term memory networks. CoRR abs/2208.03115 (2022) - [i5]Nicolò Botteghi, Mengwu Guo, Christoph Brune
:
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR abs/2208.12975 (2022) - 2021
- [i4]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 abs/2102.13403 (2021) - [i3]Mengwu Guo
:
A brief note on understanding neural networks as Gaussian processes. CoRR abs/2107.11892 (2021) - 2020
- [i2]Mengwu Guo, Ehsan Haghighat:
An energy-based error bound of physics-informed neural network solutions in elasticity. CoRR abs/2010.09088 (2020)
2010 – 2019
- 2017
- [j2]Mengwu Guo
, Hongzhi Zhong:
Constitutive-relation-error-based a posteriori error bounds for a class of elliptic variational inequalities. Appl. Math. Lett. 71: 14-23 (2017) - 2016
- [j1]Mengwu Guo
, Hongzhi Zhong:
Weak form quadrature solution of 2mth-order Fredholm integro-differential equations. Int. J. Comput. Math. 93(10): 1650-1664 (2016) - [i1]Mengwu Guo, Hongzhi Zhong:
Strict upper and lower bounds for quantities of interest in static response sensitivity analysis. CoRR abs/1611.05253 (2016)
Coauthor Index
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last updated on 2025-03-04 21:11 CET by the dblp team
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