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Learning Constrained Dynamics with Gauss Principle adhering Gaussian
  Processes

Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes

23 April 2020
A. R. Geist
Sebastian Trimpe
ArXivPDFHTML

Papers citing "Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes"

5 / 5 papers shown
Title
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
K. Ensinger
Sebastian Ziesche
Sebastian Trimpe
31
1
0
06 Sep 2023
Incorporating Sum Constraints into Multitask Gaussian Processes
Incorporating Sum Constraints into Multitask Gaussian Processes
Philipp Pilar
Carl Jidling
Thomas B. Schon
Niklas Wahlström
TPM
19
3
0
03 Feb 2022
Learning-enhanced robust controller synthesis with rigorous statistical
  and control-theoretic guarantees
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees
Christian Fiedler
C. Scherer
Sebastian Trimpe
19
15
0
07 May 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process
  Regression
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
Christian Fiedler
C. Scherer
Sebastian Trimpe
GP
21
65
0
06 May 2021
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
86
271
0
24 Feb 2014
1