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Publication name
Authors
Publication channel
Year

Gaussian Process Regression with Fluid Hyperpriors

Peer-reviewed
Girdziusas, R.; Laaksonen, J.
SPRINGER2004

Expectation propagation for nonstationary heteroscedastic Gaussian process regression

Peer-reviewed
Tolvanen, Ville; Jylänki, Pasi; Vehtari, Aki
IEEE International Workshop on Machine Learning for Signal Processing2014

Deep learning with differential Gaussian process flows

Peer-reviewed
Open access
Hegde, Pashupati; Heinonen, Markus; Lähdesmäki, Harri; Kaski, Samuel
Proceedings of Machine Learning Research2019

Scalable Gaussian Process for Extreme classification

Peer-reviewed
Open access
DOI
10.1109/MLSP49062.2020.9231675
Dhaka, Akash; Andersen, Michael; Moreno, Pablo ; Vehtari, Aki
Machine Learning for Signal Processing2020

Temporal Gaussian Process Regression in Logarithmic Time

Peer-reviewed
Open access
DOI
10.23919/FUSION49751.2022.9841306
Corenflos, Adrien; Zhao, Zheng; Sarkka, Simo
International Conference on Information Fusion2022

Speeding up the inference in Gaussian process models

Open access
Vanhatalo, Jarno
Aalto-yliopiston teknillinen korkeakoulu2010

A linear algorithm for the noise shrinkage in communication systems with gaussian nonstationary inputs

Peer-reviewed
Ermolova, Natalia
-2003

Gaussian process classification using posterior linearization

Peer-reviewed
Open access
DOI
10.1109/LSP.2019.2906929
Garcia-Fernandez, Angel F.; Tronarp, Filip; Särkkä, Simo
IEEE Signal Processing Letters2019

Minimum energy path calculations with Gaussian process regression

Peer-reviewed
Open access
Koistinen, Olli-Pekka; Maras, Emile; Vehtari, Aki; Jonsson, Hannes
Nanosystems: Physics, Chemistry, Mathematics2016

Thermogelation of methylcellulose : A rheological approach with Gaussian Process Regression

Peer-reviewed
Open access
DOI
10.1016/j.colsurfa.2024.136057
Sourroubille, Marie; Miranda-Valdez, Isaac Y.; Mäkinen, Tero; Koivisto, Juha; Alava, Mikko J.
Colloids and Surfaces A: Physicochemical and Engineering Aspects2025

Gaussian Process Regression with Fluid Hyperpriors

Peer-reviewed
2004

Expectation propagation for nonstationary heteroscedastic Gaussian process regression

Peer-reviewed
2014

Deep learning with differential Gaussian process flows

Peer-reviewed
Open access
2019

Scalable Gaussian Process for Extreme classification

Peer-reviewed
Open access
DOI
10.1109/MLSP49062.2020.9231675
2020

Temporal Gaussian Process Regression in Logarithmic Time

Peer-reviewed
Open access
DOI
10.23919/FUSION49751.2022.9841306
2022

Speeding up the inference in Gaussian process models

Open access
2010

A linear algorithm for the noise shrinkage in communication systems with gaussian nonstationary inputs

Peer-reviewed
2003

Gaussian process classification using posterior linearization

Peer-reviewed
Open access
DOI
10.1109/LSP.2019.2906929
2019

Minimum energy path calculations with Gaussian process regression

Peer-reviewed
Open access
2016

Thermogelation of methylcellulose : A rheological approach with Gaussian Process Regression

Peer-reviewed
Open access
DOI
10.1016/j.colsurfa.2024.136057
2025