Peng Chen

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

Stebėti

Peng Chen

Georgia Institute of Technology

Patvirtintas el. paštas cc.gatech.edu - Pagrindinis puslapis

scientific machine learning uncertainty quantification stochastic optimization Bayesian inference


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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
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	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	104*	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	75	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
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
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	49	2023
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
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	44	2024

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