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Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
21 January 2014
Arno Solin
Simo Särkkä
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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
A. Dahl
Edwin V. Bonilla
23
0
0
10 Mar 2019
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
J. Hendriks
Carl Jidling
A. Wills
Thomas B. Schon
68
9
0
18 Dec 2018
Infinite-Horizon Gaussian Processes
Arno Solin
J. Hensman
Richard Turner
60
28
0
15 Nov 2018
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
Cristian Guarnizo Lemus
Mauricio A. Alvarez
84
15
0
18 May 2018
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
Jalil Taghia
Thomas B. Schon
73
1
0
25 Feb 2018
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
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
Simo Särkkä
Mauricio A. Alvarez
Neil D. Lawrence
52
52
0
15 Sep 2017
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
Arno Solin
Manon Kok
Niklas Wahlström
Thomas B. Schon
Simo Särkkä
49
119
0
15 Sep 2015
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