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Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior.

T. Beckers, J. Seidman, P. Perdikaris, and G. Pappas. CDC, page 1447-1453. IEEE, (2022)

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Georgios Perdikaris

Stavros Perdikaris

Andrea Paris

Anja Paris

James Paris

Other publications of authors with the same name

Inferring solutions of differential equations using noisy multi-fidelity data.M. Raissi, P. Perdikaris, and G. Karniadakis. CoRR, (2016)Random Weight Factorization Improves the Training of Continuous Neural Representations.S. Wang, H. Wang, J. Seidman, and P. Perdikaris. CoRR, (2022)Semi-supervised Invertible DeepONets for Bayesian Inverse Problems.S. Kaltenbach, P. Perdikaris, and P. Koutsourelakis. CoRR, (2022)Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks.M. Bhouri, M. Joly, R. Yu, S. Sarkar, and P. Perdikaris. CoRR, (2023)Physics-informed machine learningG. Karniadakis, I. Kevrekidis, L. Lu, P. Perdikaris, S. Wang, and L. Yang. Nature Reviews Physics, 3 (6): 422--440 (2021)Understanding and mitigating gradient pathologies in physics-informed neural networks.S. Wang, Y. Teng, and P. Perdikaris. CoRR, (2020)Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data.Y. Zhu, N. Zabaras, P. Koutsourelakis, and P. Perdikaris. J. Comput. Phys., (2019)Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries.Z. Fang, S. Wang, and P. Perdikaris. Neural Comput., 36 (3): 475-498 (March 2024)Multi-fidelity Gaussian process regression for prediction of random fields.L. Parussini, D. Venturi, P. Perdikaris, and G. Karniadakis. J. Comput. Phys., (2017)Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets.P. Perdikaris, D. Venturi, and G. Karniadakis. SIAM J. Sci. Comput., (2016)

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Disambiguation of "Perdikaris, Paris"

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Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior.

Please choose a person to relate this publication to

Georgios Perdikaris

Stavros Perdikaris

Andrea Paris

Anja Paris

James Paris

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Perdikaris, Paris"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior.

Please choose a person to relate this publication to

Georgios Perdikaris

Stavros Perdikaris

Andrea Paris

Anja Paris

James Paris

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior.