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Algorithmic Linearly Constrained Gaussian Processes

Algorithmic Linearly Constrained Gaussian Processes

28 January 2018
Markus Lange-Hegermann
ArXivPDFHTML

Papers citing "Algorithmic Linearly Constrained Gaussian Processes"

14 / 14 papers shown
Title
Physics-Informed Variational State-Space Gaussian Processes
Physics-Informed Variational State-Space Gaussian Processes
Oliver Hamelijnck
Arno Solin
Theodoros Damoulas
36
0
0
20 Sep 2024
Images of Gaussian and other stochastic processes under closed,
  densely-defined, unbounded linear operators
Images of Gaussian and other stochastic processes under closed, densely-defined, unbounded linear operators
T. Matsumoto
T. Sullivan
38
3
0
05 May 2023
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
37
11
0
26 Aug 2022
Learning differentiable solvers for systems with hard constraints
Learning differentiable solvers for systems with hard constraints
Geoffrey Negiar
Michael W. Mahoney
Aditi S. Krishnapriyan
36
28
0
18 Jul 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
26
9
0
06 May 2022
On boundary conditions parametrized by analytic functions
On boundary conditions parametrized by analytic functions
Markus Lange-Hegermann
D. Robertz
34
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
24
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
21
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
35
20
0
27 Oct 2021
Hierarchical Non-Stationary Temporal Gaussian Processes With
  $L^1$-Regularization
Hierarchical Non-Stationary Temporal Gaussian Processes With L1L^1L1-Regularization
Zheng Zhao
Rui Gao
Simo Särkkä
25
0
0
20 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
31
65
0
06 May 2021
Learning Constrained Dynamics with Gauss Principle adhering Gaussian
  Processes
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes
A. R. Geist
Sebastian Trimpe
25
21
0
23 Apr 2020
Linearly Constrained Neural Networks
Linearly Constrained Neural Networks
J. Hendriks
Carl Jidling
A. Wills
Thomas B. Schon
21
34
0
05 Feb 2020
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
99
271
0
24 Feb 2014
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