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Algorithmic Linearly Constrained Gaussian Processes
v1v2v3 (latest)

Algorithmic Linearly Constrained Gaussian Processes

28 January 2018
Markus Lange-Hegermann
ArXiv (abs)PDFHTML

Papers citing "Algorithmic Linearly Constrained Gaussian Processes"

13 / 13 papers shown
Title
Physics-Informed Variational State-Space Gaussian Processes
Physics-Informed Variational State-Space Gaussian Processes
Oliver Hamelijnck
Arno Solin
Theodoros Damoulas
57
1
0
20 Sep 2024
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
133
16
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
78
11
0
26 Aug 2022
Designing Robust Biotechnological Processes Regarding Variabilities
  using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train
  Design
Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design
T. H. Rodríguez
Anton Sekulic
Markus Lange-Hegermann
Björn Frahm
67
10
0
06 May 2022
On boundary conditions parametrized by analytic functions
On boundary conditions parametrized by analytic functions
Markus Lange-Hegermann
D. Robertz
54
5
0
06 May 2022
Incorporating Sum Constraints into Multitask Gaussian Processes
Incorporating Sum Constraints into Multitask Gaussian Processes
Philipp Pilar
Carl Jidling
Thomas B. Schon
Niklas Wahlström
TPM
44
3
0
03 Feb 2022
Stochastic Processes Under Linear Differential Constraints : Application
  to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation
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
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge
  Independent Projected Kernels
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
M. Hutchinson
Alexander Terenin
Viacheslav Borovitskiy
So Takao
Yee Whye Teh
M. Deisenroth
68
22
0
27 Oct 2021
Efficient methods for Gaussian Markov random fields under sparse linear
  constraints
Efficient methods for Gaussian Markov random fields under sparse linear constraints
David Bolin
J. Wallin
41
4
0
03 Jun 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
74
70
0
06 May 2021
Structured learning of rigid-body dynamics: A survey and unified view
  from a robotics perspective
Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective
A. R. Geist
Sebastian Trimpe
AI4CE
90
17
0
11 Dec 2020
Learning Constrained Dynamics with Gauss Principle adhering Gaussian
  Processes
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes
A. R. Geist
Sebastian Trimpe
74
21
0
23 Apr 2020
Linearly Constrained Neural Networks
Linearly Constrained Neural Networks
J. Hendriks
Carl Jidling
A. Wills
Thomas B. Schon
103
35
0
05 Feb 2020
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