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Modeling and interpolation of the ambient magnetic field by Gaussian
  processes

Modeling and interpolation of the ambient magnetic field by Gaussian processes

15 September 2015
Arno Solin
Manon Kok
Niklas Wahlström
Thomas B. Schon
Simo Särkkä
ArXivPDFHTML

Papers citing "Modeling and interpolation of the ambient magnetic field by Gaussian processes"

20 / 20 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
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
I. Kavrakov
Gledson Rodrigo Tondo
Guido Morgenthal
AI4CE
64
1
0
21 May 2024
Large-scale magnetic field maps using structured kernel interpolation
  for Gaussian process regression
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
Clara Menzen
Marnix Fetter
Manon Kok
25
1
0
25 Oct 2023
A spectrum of physics-informed Gaussian processes for regression in
  engineering
A spectrum of physics-informed Gaussian processes for regression in engineering
E. Cross
T. Rogers
D. J. Pitchforth
S. Gibson
Matthew R. Jones
29
8
0
19 Sep 2023
Memory-Based Dual Gaussian Processes for Sequential Learning
Memory-Based Dual Gaussian Processes for Sequential Learning
Paul E. Chang
Prakhar Verma
S. T. John
Arno Solin
Mohammad Emtiyaz Khan
GP
38
4
0
06 Jun 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean
  currents
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
Renato Berlinghieri
Brian L. Trippe
David R. Burt
Ryan Giordano
K. Srinivasan
Tamay Ozgokmen
Junfei Xia
Tamara Broderick
23
10
0
20 Feb 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
Physics-informed machine learning for Structural Health Monitoring
Physics-informed machine learning for Structural Health Monitoring
E. Cross
S. Gibson
M. R. Jones
D. J. Pitchforth
S. Zhang
T. Rogers
AI4CE
61
35
0
30 Jun 2022
Optimal Multi-robot Formations for Relative Pose Estimation Using Range
  Measurements
Optimal Multi-robot Formations for Relative Pose Estimation Using Range Measurements
C. C. Cossette
Mohamed Fouad Shalaby
David Saussié
Jérôme Le Ny
James Richard Forbes
50
18
0
27 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
Magnetic Field Prediction Using Generative Adversarial Networks
Magnetic Field Prediction Using Generative Adversarial Networks
Stefan Pollok
Nataniel Olden-Jorgensen
P. S. Jørgensen
Rasmus Bjørk
GAN
AI4CE
29
15
0
14 Mar 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
Uncertainty Quantification and Experimental Design for Large-Scale
  Linear Inverse Problems under Gaussian Process Priors
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors
Cédric Travelletti
D. Ginsbourger
N. Linde
35
3
0
08 Sep 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
Grey-box models for wave loading prediction
Grey-box models for wave loading prediction
D. J. Pitchforth
T. Rogers
U. T. Tygesen
E. Cross
11
32
0
10 May 2021
Matérn Gaussian processes on Riemannian manifolds
Matérn Gaussian processes on Riemannian manifolds
Viacheslav Borovitskiy
Alexander Terenin
P. Mostowsky
M. Deisenroth
22
120
0
17 Jun 2020
Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps
Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps
Manon Kok
Arno Solin
25
67
0
05 Apr 2018
Using Inertial Sensors for Position and Orientation Estimation
Using Inertial Sensors for Position and Orientation Estimation
Manon Kok
Jeroen D. Hol
Thomas B. Schon
23
446
0
20 Apr 2017
Linearly constrained Gaussian processes
Linearly constrained Gaussian processes
Carl Jidling
Niklas Wahlström
A. Wills
Thomas B. Schon
19
98
0
02 Mar 2017
Inertial Odometry on Handheld Smartphones
Inertial Odometry on Handheld Smartphones
Arno Solin
Santiago Cortés Reina
Esa Rahtu
Arno Solin
19
54
0
01 Mar 2017
1