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ORCIDBibTeX records: Peng Chen 0024
@article{DBLP:journals/jcphy/OLearyRoseberryCVG24,
author = {Thomas O'Leary{-}Roseberry and
Peng Chen and
Umberto Villa and
Omar Ghattas},
title = {Derivative-Informed Neural Operator: An efficient framework for high-dimensional
parametric derivative learning},
journal = {J. Comput. Phys.},
volume = {496},
pages = {112555},
year = {2024},
url = {https://doi.org/10.1016/j.jcp.2023.112555},
doi = {10.1016/J.JCP.2023.112555},
timestamp = {Sat, 13 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jcphy/OLearyRoseberryCVG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jcphy/LuoC0GO23,
author = {Dingcheng Luo and
Lianghao Cao and
Peng Chen and
Omar Ghattas and
J. Tinsley Oden},
title = {Optimal design of chemoepitaxial guideposts for the directed self-assembly
of block copolymer systems using an inexact Newton algorithm},
journal = {J. Comput. Phys.},
volume = {485},
pages = {112101},
year = {2023},
url = {https://doi.org/10.1016/j.jcp.2023.112101},
doi = {10.1016/J.JCP.2023.112101},
timestamp = {Fri, 02 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jcphy/LuoC0GO23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jscic/WuOCG23,
author = {Keyi Wu and
Thomas O'Leary{-}Roseberry and
Peng Chen and
Omar Ghattas},
title = {Large-Scale Bayesian Optimal Experimental Design with Derivative-Informed
Projected Neural Network},
journal = {J. Sci. Comput.},
volume = {95},
number = {1},
pages = {30},
year = {2023},
url = {https://doi.org/10.1007/s10915-023-02145-1},
doi = {10.1007/S10915-023-02145-1},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jscic/WuOCG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/juq/WuCG23,
author = {Keyi Wu and
Peng Chen and
Omar Ghattas},
title = {A Fast and Scalable Computational Framework for Large-Scale High-Dimensional
Bayesian Optimal Experimental Design},
journal = {{SIAM/ASA} J. Uncertain. Quantification},
volume = {11},
number = {1},
pages = {235--261},
year = {2023},
url = {https://doi.org/10.1137/21m1466499},
doi = {10.1137/21M1466499},
timestamp = {Fri, 15 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/juq/WuCG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/siamsc/WuCG23,
author = {Keyi Wu and
Peng Chen and
Omar Ghattas},
title = {An Offline-Online Decomposition Method for Efficient Linear Bayesian
Goal-Oriented Optimal Experimental Design: Application to Optimal
Sensor Placement},
journal = {{SIAM} J. Sci. Comput.},
volume = {45},
number = {1},
pages = {57},
year = {2023},
url = {https://doi.org/10.1137/21m1466542},
doi = {10.1137/21M1466542},
timestamp = {Tue, 14 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/siamsc/WuCG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/kdd/KongKCPZ23,
author = {Lingkai Kong and
Harshavardhan Kamarthi and
Peng Chen and
B. Aditya Prakash and
Chao Zhang},
editor = {Ambuj K. Singh and
Yizhou Sun and
Leman Akoglu and
Dimitrios Gunopulos and
Xifeng Yan and
Ravi Kumar and
Fatma Ozcan and
Jieping Ye},
title = {Uncertainty Quantification in Deep Learning},
booktitle = {Proceedings of the 29th {ACM} {SIGKDD} Conference on Knowledge Discovery
and Data Mining, {KDD} 2023, Long Beach, CA, USA, August 6-10, 2023},
pages = {5809--5810},
publisher = {{ACM}},
year = {2023},
url = {https://doi.org/10.1145/3580305.3599577},
doi = {10.1145/3580305.3599577},
timestamp = {Mon, 25 Sep 2023 08:29:22 +0200},
biburl = {https://dblp.org/rec/conf/kdd/KongKCPZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-20053,
author = {Dingcheng Luo and
Thomas O'Leary{-}Roseberry and
Peng Chen and
Omar Ghattas},
title = {Efficient PDE-Constrained optimization under high-dimensional uncertainty
using derivative-informed neural operators},
journal = {CoRR},
volume = {abs/2305.20053},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.20053},
doi = {10.48550/ARXIV.2305.20053},
eprinttype = {arXiv},
eprint = {2305.20053},
timestamp = {Tue, 06 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-20053.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2306-05398,
author = {Lianghao Cao and
Keyi Wu and
J. Tinsley Oden and
Peng Chen and
Omar Ghattas},
title = {Bayesian model calibration for diblock copolymer thin film self-assembly
using power spectrum of microscopy data},
journal = {CoRR},
volume = {abs/2306.05398},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2306.05398},
doi = {10.48550/ARXIV.2306.05398},
eprinttype = {arXiv},
eprint = {2306.05398},
timestamp = {Wed, 14 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2306-05398.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-07925,
author = {Keyi Wu and
Thomas O'Leary{-}Roseberry and
Peng Chen and
Omar Ghattas},
title = {Derivative-informed projected neural network for large-scale Bayesian
optimal experimental design},
journal = {CoRR},
volume = {abs/2201.07925},
year = {2022},
url = {https://arxiv.org/abs/2201.07925},
eprinttype = {arXiv},
eprint = {2201.07925},
timestamp = {Tue, 01 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-07925.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2206-10745,
author = {Thomas O'Leary{-}Roseberry and
Peng Chen and
Umberto Villa and
Omar Ghattas},
title = {Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional
Parametric Derivative Learning},
journal = {CoRR},
volume = {abs/2206.10745},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2206.10745},
doi = {10.48550/ARXIV.2206.10745},
eprinttype = {arXiv},
eprint = {2206.10745},
timestamp = {Mon, 27 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2206-10745.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2208-01193,
author = {Dingcheng Luo and
Lianghao Cao and
Peng Chen and
Omar Ghattas and
J. Tinsley Oden},
title = {Optimal design of chemoepitaxial guideposts for directed self-assembly
of block copolymer systems using an inexact-Newton algorithm},
journal = {CoRR},
volume = {abs/2208.01193},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2208.01193},
doi = {10.48550/ARXIV.2208.01193},
eprinttype = {arXiv},
eprint = {2208.01193},
timestamp = {Wed, 10 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2208-01193.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jcphy/ChenHG21,
author = {Peng Chen and
Michael R. Haberman and
Omar Ghattas},
title = {Optimal design of acoustic metamaterial cloaks under uncertainty},
journal = {J. Comput. Phys.},
volume = {431},
pages = {110114},
year = {2021},
url = {https://doi.org/10.1016/j.jcp.2021.110114},
doi = {10.1016/J.JCP.2021.110114},
timestamp = {Wed, 10 Mar 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jcphy/ChenHG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/juq/ChenG21,
author = {Peng Chen and
Omar Ghattas},
title = {Taylor Approximation for Chance Constrained Optimization Problems
Governed by Partial Differential Equations with High-Dimensional Random
Parameters},
journal = {{SIAM/ASA} J. Uncertain. Quantification},
volume = {9},
number = {4},
pages = {1381--1410},
year = {2021},
url = {https://doi.org/10.1137/20M1381381},
doi = {10.1137/20M1381381},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/juq/ChenG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/siamsc/ChenG21,
author = {Peng Chen and
Omar Ghattas},
title = {Stein Variational Reduced Basis Bayesian Inversion},
journal = {{SIAM} J. Sci. Comput.},
volume = {43},
number = {2},
pages = {A1163--A1193},
year = {2021},
url = {https://doi.org/10.1137/20M1321589},
doi = {10.1137/20M1321589},
timestamp = {Sun, 16 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/siamsc/ChenG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2102-06627,
author = {Keyi Wu and
Peng Chen and
Omar Ghattas},
title = {A fast and scalable computational framework for goal-oriented linear
Bayesian optimal experimental design: Application to optimal sensor
placement},
journal = {CoRR},
volume = {abs/2102.06627},
year = {2021},
url = {https://arxiv.org/abs/2102.06627},
eprinttype = {arXiv},
eprint = {2102.06627},
timestamp = {Fri, 19 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2102-06627.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/siamsc/AlgerCG20,
author = {Nick Alger and
Peng Chen and
Omar Ghattas},
title = {Tensor Train Construction From Tensor Actions, With Application to
Compression of Large High Order Derivative Tensors},
journal = {{SIAM} J. Sci. Comput.},
volume = {42},
number = {5},
pages = {A3516--A3539},
year = {2020},
url = {https://doi.org/10.1137/20M131936X},
doi = {10.1137/20M131936X},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/siamsc/AlgerCG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/0024G20,
author = {Peng Chen and
Omar Ghattas},
editor = {Hugo Larochelle and
Marc'Aurelio Ranzato and
Raia Hadsell and
Maria{-}Florina Balcan and
Hsuan{-}Tien Lin},
title = {Projected Stein Variational Gradient Descent},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
on Neural Information Processing Systems 2020, NeurIPS 2020, December
6-12, 2020, virtual},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/14faf969228fc18fcd4fcf59437b0c97-Abstract.html},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/0024G20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2002-03469,
author = {Peng Chen and
Omar Ghattas},
title = {Projected Stein Variational Gradient Descent},
journal = {CoRR},
volume = {abs/2002.03469},
year = {2020},
url = {https://arxiv.org/abs/2002.03469},
eprinttype = {arXiv},
eprint = {2002.03469},
timestamp = {Wed, 12 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2002-03469.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2002-06244,
author = {Nick Alger and
Peng Chen and
Omar Ghattas},
title = {Tensor train construction from tensor actions, with application to
compression of large high order derivative tensors},
journal = {CoRR},
volume = {abs/2002.06244},
year = {2020},
url = {https://arxiv.org/abs/2002.06244},
eprinttype = {arXiv},
eprint = {2002.06244},
timestamp = {Mon, 02 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2002-06244.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2002-10924,
author = {Peng Chen and
Omar Ghattas},
title = {Stein variational reduced basis Bayesian inversion},
journal = {CoRR},
volume = {abs/2002.10924},
year = {2020},
url = {https://arxiv.org/abs/2002.10924},
eprinttype = {arXiv},
eprint = {2002.10924},
timestamp = {Tue, 03 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2002-10924.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2010-15196,
author = {Keyi Wu and
Peng Chen and
Omar Ghattas},
title = {A fast and scalable computational framework for large-scale and high-dimensional
Bayesian optimal experimental design},
journal = {CoRR},
volume = {abs/2010.15196},
year = {2020},
url = {https://arxiv.org/abs/2010.15196},
eprinttype = {arXiv},
eprint = {2010.15196},
timestamp = {Tue, 03 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2010-15196.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-15110,
author = {Thomas O'Leary{-}Roseberry and
Umberto Villa and
Peng Chen and
Omar Ghattas},
title = {Derivative-Informed Projected Neural Networks for High-Dimensional
Parametric Maps Governed by PDEs},
journal = {CoRR},
volume = {abs/2011.15110},
year = {2020},
url = {https://arxiv.org/abs/2011.15110},
eprinttype = {arXiv},
eprint = {2011.15110},
timestamp = {Tue, 01 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-15110.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jcphy/ChenVG19,
author = {Peng Chen and
Umberto Villa and
Omar Ghattas},
title = {Taylor approximation and variance reduction for PDE-constrained optimal
control under uncertainty},
journal = {J. Comput. Phys.},
volume = {385},
pages = {163--186},
year = {2019},
url = {https://doi.org/10.1016/j.jcp.2019.01.047},
doi = {10.1016/J.JCP.2019.01.047},
timestamp = {Wed, 19 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jcphy/ChenVG19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/0024WCOG19,
author = {Peng Chen and
Keyi Wu and
Joshua Chen and
Tom O'Leary{-}Roseberry and
Omar Ghattas},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Projected Stein Variational Newton: {A} Fast and Scalable Bayesian
Inference Method in High Dimensions},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {15104--15113},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/eea5d933e9dce59c7dd0f6532f9ea81b-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/0024WCOG19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jcphy/ChenS16a,
author = {Peng Chen and
Christoph Schwab},
title = {Sparse-grid, reduced-basis Bayesian inversion: Nonaffine-parametric
nonlinear equations},
journal = {J. Comput. Phys.},
volume = {316},
pages = {470--503},
year = {2016},
url = {https://doi.org/10.1016/j.jcp.2016.02.055},
doi = {10.1016/J.JCP.2016.02.055},
timestamp = {Wed, 03 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jcphy/ChenS16a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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