Peng Chen

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Omar GhattasProfessor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at AustinE-mailová adresa ověřena na: ices.utexas.edu
Alfio QuarteroniProfessor of Mathematics, Politecnico di Milano, Milan, Italy and EPFL, Lausanne, SwitzerlandE-mailová adresa ověřena na: polimi.it
Gianluigi RozzaFull Professor of Numerical Analysis, SISSA, Int. School for Adv. Studies, Italy and ERC PIE-mailová adresa ověřena na: sissa.it
Keyi WuUniversity of Texas at AustinE-mailová adresa ověřena na: math.utexas.edu
Umberto VillaOden Institute, UT AustinE-mailová adresa ověřena na: oden.utexas.edu
Thomas O'Leary-RoseberryOden Institute, The University of Texas at AustinE-mailová adresa ověřena na: utexas.edu
Christoph SchwabProfessor for Mathematics, ETH ZurichE-mailová adresa ověřena na: math.ethz.ch
Karen Veroy-GreplEindhoven University of Technology (TU/e)E-mailová adresa ověřena na: tue.nl
Dingcheng LuoPhD Student, University of Texas at AustinE-mailová adresa ověřena na: utexas.edu
Wuchen Li 李务晨University of South Carolina, Assistant professorE-mailová adresa ověřena na: mailbox.sc.edu
Yifei Wang 汪祎非Stanford UniversityE-mailová adresa ověřena na: stanford.edu
Michael R. HabermanAssociate Professor, Department of Mechanical Engineering, The University of Texas at AustinE-mailová adresa ověřena na: utexas.edu
Lianghao CaoPostdoctoral Scholar Research Associate, California Institute of TechnologyE-mailová adresa ověřena na: caltech.edu
J. Tinsley OdenE-mailová adresa ověřena na: ices.utexas.edu
Denise DegenPostdoctoral Researcher, GFZ Helmholtz Centre for GeosciencesE-mailová adresa ověřena na: gfz.de
Jinwoo GoGeorgia Institute of TechnologyE-mailová adresa ověřena na: gatech.edu
Mert PilanciStanford UniversityE-mailová adresa ověřena na: stanford.edu
Felix J. HerrmannProfessor Schools of Earth and Atmospheric Sciences, Computational Science and EngineeringE-mailová adresa ověřena na: gatech.edu
Rafael OrozcoPhD Candidate, Georgia Institute of TechnologyE-mailová adresa ověřena na: gatech.edu
Phillip SiPh.D. Student, Georgia TechE-mailová adresa ověřena na: gatech.edu

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Peng Chen

Georgia Institute of Technology

E-mailová adresa ověřena na: cc.gatech.edu - Domovská stránka

scientific machine learning uncertainty quantification stochastic optimization Bayesian inference


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Simulation‐based uncertainty quantification of human arterial network hemodynamics P Chen, A Quarteroni, G Rozza International journal for numerical methods in biomedical engineering 29 (6 …, 2013	109	2013
A weighted reduced basis method for elliptic partial differential equations with random input data P Chen, A Quarteroni, G Rozza SIAM Journal on Numerical Analysis 51 (6), 3163-3185, 2013	108	2013
Reduced basis methods for uncertainty quantification P Chen, A Quarteroni, G Rozza SIAM/ASA Journal on Uncertainty Quantification 5 (1), 813-869, 2017	103*	2017
Comparison between reduced basis and stochastic collocation methods for elliptic problems P Chen, A Quarteroni, G Rozza Journal of Scientific Computing 59, 187-216, 2014	103*	2014
Weighted reduced basis method for stochastic optimal control problems with elliptic PDE constraints P Chen, A Quarteroni SIAM/ASA J. Uncertainty Quantification 2 (1), 364–396, 2014	86	2014
Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs T O’Leary-Roseberry, U Villa, P Chen, O Ghattas Computer Methods in Applied Mechanics and Engineering 388, 114199, 2022	77	2022
Projected Stein Variational Gradient Descent P Chen, O Ghattas Advances in Neural Information Processing Systems, 2020	76	2020
Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations P Chen, A Quarteroni, G Rozza Numerische Mathematik 133 (1), 67-102, 2015	74	2015
Projected Stein variational Newton: A fast and scalable Bayesian inference method in high dimensions P Chen, K Wu, J Chen, T O'Leary-Roseberry, O Ghattas Advances in Neural Information Processing Systems, 2019	71	2019
Stochastic optimal Robin boundary control problems of advection-dominated elliptic equations P Chen, A Quarteroni, G Rozza SIAM Journal on Numerical Analysis 51 (5), 2700-2722, 2013	70	2013
Optimal design of acoustic metamaterial cloaks under uncertainty P Chen, MR Haberman, O Ghattas Journal of Computational Physics 431, 110114, 2021	62	2021
Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty P Chen, U Villa, O Ghattas Journal of Computational Physics 385, 163-186, 2019	60	2019
A new algorithm for high-dimensional uncertainty quantification based on dimension-adaptive sparse grid approximation and reduced basis methods P Chen, A Quarteroni Journal of Computational Physics 298, 176-193, 2015	58	2015
Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems P Chen, U Villa, O Ghattas Computer Methods in Applied Mechanics and Engineering 327, 147–172, 2017	52	2017
Sparse-grid, reduced-basis Bayesian inversion: Nonaffine-parametric nonlinear equations P Chen, C Schwab Journal of Computational Physics 316, 470–503, 2016	51	2016
Sparse-grid, reduced-basis Bayesian inversion P Chen, C Schwab Computer Methods in Applied Mechanics and Engineering 297, 84-115, 2015	51	2015
Accurate and efficient evaluation of failure probability for partial different equations with random input data P Chen, A Quarteroni Computer Methods in Applied Mechanics and Engineering 267, 233-260, 2013	50	2013
A fast and scalable computational framework for large-scale high-dimensional Bayesian optimal experimental design K Wu, P Chen, O Ghattas SIAM/ASA Journal on Uncertainty Quantification 11 (1), 235-261, 2023	46	2023
A weighted empirical interpolation method: a priori convergence analysis and applications P Chen, A Quarteroni, G Rozza ESAIM: Mathematical Modelling and Numerical Analysis 48 (4), 943-953, 2014	46	2014
Derivative-informed neural operator: an efficient framework for high-dimensional parametric derivative learning T O'Leary-Roseberry, P Chen, U Villa, O Ghattas Journal of Computational Physics 496, 112555, 2024	43	2024

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