Gaussian Process Latent Force Models for Learning and Stochastic Control
of Physical Systems

v1v2 (latest)

Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems

15 September 2017

Simo Särkkä

Mauricio A. Alvarez

Neil D. Lawrence

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Papers citing "Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems"

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Title
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients Marc Härkönen Markus Lange-Hegermann Bogdan Raiță 135 16 0 29 Dec 2022
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach Thomas Woodruff Iman Askari Guanghui Wang H. Fang 20 0 0 28 Jul 2022
Machine Learning in Orbit Estimation: a Survey Francisco M. Caldas Cláudia Soares 40 19 0 19 Jul 2022
Stochastic Processes Under Linear Differential Constraints : Application to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation Iain Henderson P. Noble O. Roustant 47 1 0 23 Nov 2021
Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes E. Bradford Lars Imsland M. Reble Ehecatl Antonio del Rio Chanona 33 12 0 14 Aug 2021
Black-Box Inference for Non-Linear Latent Force Models W. Ward Tom Ryder D. Prangle Mauricio A. Alvarez DRL 69 14 0 21 Jun 2019
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes Li-Fang Cheng Bianca Dumitrascu M. Zhang C. Chivers Michael Draugelis Kai Li Barbara E. Engelhardt 41 9 0 01 Jun 2019
Temporal Parallelization of Bayesian Smoothers Simo Särkkä Á. F. García-Fernández 195 41 0 30 May 2019
A Gaussian process latent force model for joint input-state estimation in linear structural systems R. Nayek S. Chakraborty S. Narasimhan 47 91 0 29 Mar 2019