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Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
v1v2v3 (latest)

Hilbert Space Methods for Reduced-Rank Gaussian Process Regression

21 January 2014
Arno Solin
Simo Särkkä
ArXiv (abs)PDFHTML

Papers citing "Hilbert Space Methods for Reduced-Rank Gaussian Process Regression"

13 / 113 papers shown
Title
Scalable Grouped Gaussian Processes via Direct Cholesky Functional
  Representations
Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations
A. Dahl
Edwin V. Bonilla
23
0
0
10 Mar 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
William J. Wilkinson
Michael Riis Andersen
Joshua D. Reiss
D. Stowell
Arno Solin
64
5
0
31 Jan 2019
Evaluating the squared-exponential covariance function in Gaussian
  processes with integral observations
Evaluating the squared-exponential covariance function in Gaussian processes with integral observations
J. Hendriks
Carl Jidling
A. Wills
Thomas B. Schon
68
9
0
18 Dec 2018
Infinite-Horizon Gaussian Processes
Infinite-Horizon Gaussian Processes
Arno Solin
J. Hensman
Richard Turner
60
28
0
15 Nov 2018
Probabilistic approach to limited-data computed tomography
  reconstruction
Probabilistic approach to limited-data computed tomography reconstruction
Z. Purisha
Carl Jidling
Niklas Wahlström
Simo Särkkä
Thomas B. Schon
54
19
0
11 Sep 2018
Fast Kernel Approximations for Latent Force Models and Convolved
  Multiple-Output Gaussian processes
Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes
Cristian Guarnizo Lemus
Mauricio A. Alvarez
84
15
0
18 May 2018
Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps
Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps
Manon Kok
Arno Solin
51
68
0
05 Apr 2018
Conditionally Independent Multiresolution Gaussian Processes
Conditionally Independent Multiresolution Gaussian Processes
Jalil Taghia
Thomas B. Schon
73
1
0
25 Feb 2018
State Space Gaussian Processes with Non-Gaussian Likelihood
State Space Gaussian Processes with Non-Gaussian Likelihood
H. Nickisch
Arno Solin
A. Grigorevskiy
GP
87
32
0
13 Feb 2018
Learning Localized Spatio-Temporal Models From Streaming Data
Learning Localized Spatio-Temporal Models From Streaming Data
Muhammad Osama
Dave Zachariah
Thomas B. Schon
103
1
0
09 Feb 2018
Gaussian Process Latent Force Models for Learning and Stochastic Control
  of Physical Systems
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems
Simo Särkkä
Mauricio A. Alvarez
Neil D. Lawrence
52
52
0
15 Sep 2017
Recursive nonlinear-system identification using latent variables
Recursive nonlinear-system identification using latent variables
Per Mattsson
Dave Zachariah
Petre Stoica
78
30
0
14 Jun 2016
Modeling and interpolation of the ambient magnetic field by Gaussian
  processes
Modeling and interpolation of the ambient magnetic field by Gaussian processes
Arno Solin
Manon Kok
Niklas Wahlström
Thomas B. Schon
Simo Särkkä
49
119
0
15 Sep 2015
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