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Gaussian Processes Over Graphs
v1v2 (latest)

Gaussian Processes Over Graphs

15 March 2018
Arun Venkitaraman
Saikat Chatterjee
P. Händel
ArXiv (abs)PDFHTML

Papers citing "Gaussian Processes Over Graphs"

15 / 15 papers shown
Title
Multi-Output Gaussian Processes for Graph-Structured Data
Multi-Output Gaussian Processes for Graph-Structured Data
Ayano Nakai-Kasai
Tadashi Wadayama
154
0
0
22 May 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
192
4
0
28 Oct 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression
Learning signals defined on graphs with optimal transport and Gaussian process regression
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
203
1
0
21 Oct 2024
Kernel Regression for Graph Signal Prediction in Presence of Sparse
  Noise
Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise
Arun Venkitaraman
M. Fokkema
Saikat Chatterjee
12
2
0
06 Nov 2018
Multi-kernel Regression For Graph Signal Processing
Multi-kernel Regression For Graph Signal Processing
Arun Venkitaraman
Saikat Chatterjee
P. Händel
16
8
0
12 Mar 2018
Classification of MRI data using Deep Learning and Gaussian
  Process-based Model Selection
Classification of MRI data using Deep Learning and Gaussian Process-based Model Selection
H. Bertrand
M. Perrot
R. Ardon
Isabelle Bloch
51
9
0
16 Jan 2017
Gaussian process regression can turn non-uniform and undersampled
  diffusion MRI data into diffusion spectrum imaging
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging
Jens Sjölund
Anders Eklund
E. Özarslan
H. Knutsson
MedImDiffM
17
8
0
09 Nov 2016
Random Feature Expansions for Deep Gaussian Processes
Random Feature Expansions for Deep Gaussian Processes
Kurt Cutajar
Edwin V. Bonilla
Pietro Michiardi
Maurizio Filippone
BDL
44
144
0
14 Oct 2016
Kernel-based Reconstruction of Graph Signals
Kernel-based Reconstruction of Graph Signals
Daniel Romero
Meng Ma
G. Giannakis
61
182
0
23 May 2016
Fast Robust PCA on Graphs
Fast Robust PCA on Graphs
N. Shahid
Nathanael Perraudin
Vassilis Kalofolias
Gilles Puy
P. Vandergheynst
79
109
0
29 Jul 2015
Learning Laplacian Matrix in Smooth Graph Signal Representations
Learning Laplacian Matrix in Smooth Graph Signal Representations
Xiaowen Dong
D. Thanou
P. Frossard
P. Vandergheynst
140
28
0
30 Jun 2014
Learning parametric dictionaries for graph signals
Learning parametric dictionaries for graph signals
D. Thanou
D. Shuman
P. Frossard
90
119
0
05 Jan 2014
Deep Gaussian Processes
Deep Gaussian Processes
Andreas C. Damianou
Neil D. Lawrence
GPBDL
149
1,184
0
02 Nov 2012
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
138
3,984
0
31 Oct 2012
Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary
  Undirected Graphs
Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary Undirected Graphs
S. K. Narang
Antonio Ortega
79
214
0
30 Oct 2012
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