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Adjoint-aided inference of Gaussian process driven differential
  equations

Adjoint-aided inference of Gaussian process driven differential equations

9 February 2022
Paterne Gahungu
Christopher W. Lanyon
Mauricio A. Alvarez
Engineer Bainomugisha
M. Smith
Richard D. Wilkinson
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Papers citing "Adjoint-aided inference of Gaussian process driven differential equations"

4 / 4 papers shown
Title
An Introduction to the Calibration of Computer Models
An Introduction to the Calibration of Computer Models
Richard D. Wilkinson
Christopher W. Lanyon
24
0
0
13 Oct 2023
Gaussian Process Priors for Systems of Linear Partial Differential
  Equations with Constant Coefficients
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
Marc Härkönen
Markus Lange-Hegermann
Bogdan Raiță
11
15
0
29 Dec 2022
Constraining Gaussian Processes to Systems of Linear Ordinary
  Differential Equations
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow
Markus Lange-Hegermann
19
11
0
26 Aug 2022
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
182
3,262
0
09 Jun 2012
1