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

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

Thomas Beckers
Jacob H. Seidman
P. Perdikaris
George J. Pappas
    PINN
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Papers citing "Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior"

10 / 10 papers shown
Title
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems
Shaan Desai
M. Mattheakis
David Sondak
P. Protopapas
Stephen J. Roberts
AI4CE
79
47
0
16 Jul 2021
Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
Mohamed Aziz Bhouri
P. Perdikaris
71
21
0
04 Mar 2021
Learning ODE Models with Qualitative Structure Using Gaussian Processes
Learning ODE Models with Qualitative Structure Using Gaussian Processes
Steffen Ridderbusch
Christian Offen
Sina Ober-Blobaum
Paul Goulart
57
15
0
10 Nov 2020
Symplectic Gaussian Process Regression of Hamiltonian Flow Maps
Symplectic Gaussian Process Regression of Hamiltonian Flow Maps
K. Rath
C. Albert
B. Bischl
U. Toussaint
50
29
0
11 Sep 2020
Prediction with Approximated Gaussian Process Dynamical Models
Prediction with Approximated Gaussian Process Dynamical Models
Thomas Beckers
Sandra Hirche
AI4CE
50
19
0
25 Jun 2020
Efficiently Sampling Functions from Gaussian Process Posteriors
Efficiently Sampling Functions from Gaussian Process Posteriors
James T. Wilson
Viacheslav Borovitskiy
Alexander Terenin
P. Mostowsky
M. Deisenroth
68
165
0
21 Feb 2020
Hamiltonian Neural Networks
Hamiltonian Neural Networks
S. Greydanus
Misko Dzamba
J. Yosinski
PINNAI4CE
130
899
0
04 Jun 2019
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
98
268
0
29 Mar 2017
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
A. Wilson
H. Nickisch
GP
86
515
0
03 Mar 2015
Kernels for Vector-Valued Functions: a Review
Kernels for Vector-Valued Functions: a Review
Mauricio A. Alvarez
Lorenzo Rosasco
Neil D. Lawrence
GP
218
930
0
30 Jun 2011

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