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Spectral Mixture Kernels for Multi-Output Gaussian Processes

Spectral Mixture Kernels for Multi-Output Gaussian Processes

5 September 2017
Gabriel Parra
Felipe A. Tobar
ArXivPDFHTML

Papers citing "Spectral Mixture Kernels for Multi-Output Gaussian Processes"

16 / 16 papers shown
Title
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
24
8
0
19 Sep 2023
Gaussian process deconvolution
Gaussian process deconvolution
Felipe A. Tobar
Arnaud Robert
Jorge F. Silva
33
5
0
08 May 2023
A Principled Method for the Creation of Synthetic Multi-fidelity Data
  Sets
A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets
Clyde Fare
Peter Fenner
Edward O. Pyzer-Knapp
28
2
0
11 Aug 2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Haitao Liu
Kai Wu
Yew-Soon Ong
Chao Bian
Xiaomo Jiang
Xiaofang Wang
24
7
0
25 Feb 2022
Geometry-Aware Hierarchical Bayesian Learning on Manifolds
Geometry-Aware Hierarchical Bayesian Learning on Manifolds
Yonghui Fan
Yalin Wang
18
2
0
30 Oct 2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of
  Coregionalization
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
Haitao Liu
Jiaqi Ding
Xinyu Xie
Xiaomo Jiang
Yusong Zhao
Xiaofang Wang
BDL
34
14
0
20 Sep 2021
Recent Advances in Data-Driven Wireless Communication Using Gaussian
  Processes: A Comprehensive Survey
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey
Kai Chen
Qinglei Kong
Yijue Dai
Yue Xu
Feng Yin
Lexi Xu
Shuguang Cui
38
30
0
18 Mar 2021
Transferring model structure in Bayesian transfer learning for Gaussian
  process regression
Transferring model structure in Bayesian transfer learning for Gaussian process regression
Milan Papez
A. Quinn
27
11
0
18 Jan 2021
Cluster-Specific Predictions with Multi-Task Gaussian Processes
Cluster-Specific Predictions with Multi-Task Gaussian Processes
Arthur Leroy
Pierre Latouche
Benjamin Guedj
S. Gey
23
4
0
16 Nov 2020
MOGPTK: The Multi-Output Gaussian Process Toolkit
MOGPTK: The Multi-Output Gaussian Process Toolkit
T. Wolff
Alejandro Cuevas
Felipe A. Tobar
GP
22
45
0
09 Feb 2020
Latent Function Decomposition for Forecasting Li-ion Battery Cells
  Capacity: A Multi-Output Convolved Gaussian Process Approach
Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach
Abdallah A. Chehade
A. Hussein
BDL
15
16
0
19 Jul 2019
Compositionally-Warped Gaussian Processes
Compositionally-Warped Gaussian Processes
Gonzalo Rios
Felipe A. Tobar
27
41
0
23 Jun 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
23
10
0
18 Dec 2018
Bayesian Nonparametric Spectral Estimation
Bayesian Nonparametric Spectral Estimation
Felipe A. Tobar
19
29
0
06 Sep 2018
Heterogeneous Multi-output Gaussian Process Prediction
Heterogeneous Multi-output Gaussian Process Prediction
P. Moreno-Muñoz
Antonio Artés-Rodríguez
Mauricio A. Alvarez
22
71
0
19 May 2018
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process
Gonzalo Rios
Felipe A. Tobar
GP
21
14
0
19 Mar 2018
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