Peng Chen

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	1907	1235
h-индекс	27	23
i10-индекс	36	35

380

190

285

2012201320142015201620172018201920202021202220232024202511 26 53 83 119 88 121 142 115 201 207 242 371 96

Публичен достъп

Преглед на всички

30 статии

2 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Omar GhattasProfessor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at AustinПотвърден имейл адрес: ices.utexas.edu
Alfio QuarteroniProfessor Emeritus, Politecnico di Milano, Italy and Professor Emeritus, EPFL, Lausanne, SwitzerlandПотвърден имейл адрес: polimi.it
Gianluigi RozzaFull Professor of Numerical Analysis, SISSA, Int. School for Adv. Studies, Italy and ERC PIПотвърден имейл адрес: sissa.it
Keyi WuUniversity of Texas at AustinПотвърден имейл адрес: math.utexas.edu
Umberto VillaOden Institute, UT AustinПотвърден имейл адрес: oden.utexas.edu
Thomas O'Leary-RoseberryOden Institute, The University of Texas at AustinПотвърден имейл адрес: utexas.edu
Christoph SchwabProfessor for Mathematics, ETH ZurichПотвърден имейл адрес: math.ethz.ch
Karen Veroy-GreplEindhoven University of Technology (TU/e)Потвърден имейл адрес: tue.nl
Dingcheng LuoPhD Student, University of Texas at AustinПотвърден имейл адрес: utexas.edu
Wuchen Li 李务晨University of South Carolina, Assistant professorПотвърден имейл адрес: mailbox.sc.edu
Yifei Wang 汪祎非Stanford UniversityПотвърден имейл адрес: stanford.edu
Michael R. HabermanAssociate Professor, Department of Mechanical Engineering, The University of Texas at AustinПотвърден имейл адрес: utexas.edu
Lianghao CaoPostdoctoral Scholar Research Associate, California Institute of TechnologyПотвърден имейл адрес: caltech.edu
J. Tinsley OdenПотвърден имейл адрес: ices.utexas.edu
Denise DegenPostdoctoral Researcher, GFZ Helmholtz Centre for GeosciencesПотвърден имейл адрес: gfz.de
Jinwoo GoGeorgia Institute of TechnologyПотвърден имейл адрес: gatech.edu
Mert PilanciStanford UniversityПотвърден имейл адрес: stanford.edu
Felix J. HerrmannProfessor Schools of Earth and Atmospheric Sciences, Computational Science and EngineeringПотвърден имейл адрес: gatech.edu
Rafael OrozcoPhD Candidate, Georgia Institute of TechnologyПотвърден имейл адрес: gatech.edu
Aaron ZimmermanThe University of Texas at AustinПотвърден имейл адрес: austin.utexas.edu

Следене

Peng Chen

Georgia Institute of Technology

Потвърден имейл адрес: cc.gatech.edu - Начална страница

scientific machine learning uncertainty quantification stochastic optimization Bayesian inference


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	109	2013
Reduced basis methods for uncertainty quantification P Chen, A Quarteroni, G Rozza SIAM/ASA Journal on Uncertainty Quantification 5 (1), 813-869, 2017	106*	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	85	2014
Projected Stein Variational Gradient Descent P Chen, O Ghattas Advances in Neural Information Processing Systems, 2020	77	2020
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	76	2022
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	73	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	60	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
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	51	2023
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	51	2013
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	46	2024
A weighted empirical interpolation method: a prioriconvergence analysis and applications P Chen, A Quarteroni, G Rozza ESAIM: Mathematical Modelling and Numerical Analysis 48 (4), 943-953, 2014	46	2014

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