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1709.05409
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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"
16 / 16 papers shown
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
Wouter M. Kouw
Caspar Gruijthuijsen
Lennart Blanken
Enzo Evers
Timothy Rogers
226
1
0
01 Jul 2024
A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation
Yu Duan
M. Eaton
Michael Bluck
270
0
0
13 Dec 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
International Conference on Machine Learning (ICML), 2022
Marc Härkönen
Markus Lange-Hegermann
Bogdan Raiță
565
29
0
29 Dec 2022
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach
IEEE International Conference on Robotics and Automation (ICRA), 2021
Thomas Woodruff
Iman Askari
Guanghui Wang
H. Fang
138
0
0
28 Jul 2022
Machine Learning in Orbit Estimation: a Survey
Acta Astronautica (Acta Astronaut.), 2022
Francisco M. Caldas
Cláudia Soares
293
44
0
19 Jul 2022
Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models
Mechanical systems and signal processing (MSSP), 2022
J. Zou
E. Lourens
Alice Cicirello
158
26
0
13 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
335
2
0
23 Nov 2021
Approximate Latent Force Model Inference
Jacob Moss
Felix L. Opolka
Bianca Dumitrascu
Pietro Lio
389
3
0
24 Sep 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
164
12
0
14 Aug 2021
System identification using Bayesian neural networks with nonparametric noise models
Christos Merkatas
Simo Särkkä
186
3
0
25 Apr 2021
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
S. Rezaei-Shoshtari
David Meger
I. Sharf
BDL
DRL
221
3
0
22 Jul 2020
The Use of Gaussian Processes in System Identification
Simo Särkkä
GP
AI4TS
153
12
0
13 Jul 2019
Black-Box Inference for Non-Linear Latent Force Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
W. Ward
Tom Ryder
D. Prangle
Mauricio A. Alvarez
DRL
296
14
0
21 Jun 2019
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Li-Fang Cheng
Bianca Dumitrascu
M. Zhang
C. Chivers
Michael Draugelis
Kai Li
Barbara E. Engelhardt
152
10
0
01 Jun 2019
Temporal Parallelization of Bayesian Smoothers
IEEE Transactions on Automatic Control (IEEE TAC), 2019
Simo Särkkä
Á. F. García-Fernández
376
54
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
196
104
0
29 Mar 2019
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