Mengwu Guo - RankMe

27 papers Journal 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference. CoRR Shane A. McQuarrie, Mengwu Guo, Anirban Chaudhuri
2026	J	`jnl`	An adjoint method for training data-driven reduced-order models. CoRR Donglin Liu, Francisco García Atienza, Mengwu Guo
2025	J	`jnl`	HypeRL: Parameter-Informed Reinforcement Learning for Parametric PDEs. CoRR Nicolò Botteghi, Stefania Fresca, Mengwu Guo, Andrea Manzoni
2025	J	`jnl`	PDE-DKL: PDE-constrained deep kernel learning in high dimensionality. CoRR Weihao Yan, Christoph Brune, Mengwu Guo
2025	J	`jnl`	PDE-constrained Gaussian process surrogate modeling with uncertain data locations. Adv. Model. Simul. Eng. Sci. Dongwei Ye, Weihao Yan, Christoph Brune, Mengwu Guo
2025	J	`jnl`	Physics-based deep kernel learning for parameter estimation in high dimensional PDEs. CoRR Weihao Yan, Christoph Brune, Mengwu Guo
2025	J	`jnl`	Progressive multi-fidelity learning for physical system predictions. CoRR Paolo Conti, Mengwu Guo, Attilio Frangi, Andrea Manzoni
2025	J	`jnl`	Sparsifying Dimensionality Reduction of PDE Solution Data with Bregman Learning. SIAM J. Sci. Comput. Tjeerd Jan Heeringa, Christoph Brune, Mengwu Guo
2025	J	`jnl`	Towards scientific machine learning for granular material simulations - challenges and opportunities. CoRR Marc Fransen, Andreas Fürst, Deepak Tunuguntla, Daniel N. Wilke, Benedikt Alkin, Daniel Barreto, Johannes Brandstetter, Miguel Angel Cabrera, Xinyan Fan, Mengwu Guo, Bram Kieskamp, Krishna Kumar, John Morrissey, Jonathan Nuttall, Jin Y. Ooi, Luisa Orozco, Stefanos-Aldo Papanicolopulos, Tongming Qu, Dingena Schott, Takayuki Shuku, WaiChing Sun, Thomas Weinhart, Dongwei Ye, Hongyang Cheng
2024	J	`jnl`	Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems. CoRR Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo
2024	J	`jnl`	Gaussian process learning of nonlinear dynamics. Commun. Nonlinear Sci. Numer. Simul. Dongwei Ye, Mengwu Guo
2024	J	`jnl`	Recurrent Deep Kernel Learning of Dynamical Systems. CoRR Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo
2024	J	`jnl`	Sparsifying dimensionality reduction of PDE solution data with Bregman learning. CoRR Tjeerd Jan Heeringa, Christoph Brune, Mengwu Guo
2023	J	`jnl`	Bayesian approach to Gaussian process regression with uncertain inputs. CoRR Dongwei Ye, Mengwu Guo
2023	J	`jnl`	Gaussian process learning of nonlinear dynamics. CoRR Dongwei Ye, Mengwu Guo
2023	J	`jnl`	Multi-fidelity reduced-order surrogate modeling. CoRR Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz
2023	J	`jnl`	Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. Comput. Math. Appl. Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino
2023	J	`jnl`	Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. CoRR Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino
2022	J	`jnl`	Bayesian operator inference for data-driven reduced-order modeling. CoRR Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox
2022	J	`jnl`	Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR Nicolò Botteghi, Mengwu Guo, Christoph Brune
2022	J	`jnl`	Multi-fidelity surrogate modeling using long short-term memory networks. CoRR Paolo Conti, Mengwu Guo, Andrea Manzoni, Jan S. Hesthaven
2021	J	`jnl`	A brief note on understanding neural networks as Gaussian processes. CoRR Mengwu Guo
2021	J	`jnl`	Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities. CoRR Mengwu Guo, Andrea Manzoni, Maurice Amendt, Paolo Conti, Jan S. Hesthaven
2020	J	`jnl`	An energy-based error bound of physics-informed neural network solutions in elasticity. CoRR Mengwu Guo, Ehsan Haghighat
2017	J	`jnl`	Constitutive-relation-error-based a posteriori error bounds for a class of elliptic variational inequalities. Appl. Math. Lett. Mengwu Guo, Hongzhi Zhong
2016	J	`jnl`	Strict upper and lower bounds for quantities of interest in static response sensitivity analysis. CoRR Mengwu Guo, Hongzhi Zhong
2016	J	`jnl`	Weak form quadrature solution of 2 Int. J. Comput. Math. Mengwu Guo, Hongzhi Zhong