Jarno Vanhatalo

According to our database, Jarno Vanhatalo authored at least 12 papers between 2007 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Making the most of mental models: Advancing the methodology for mental model elicitation and documentation with expert stakeholders.

Kelsey LaMere, Samu Mäntyniemi, Jarno Vanhatalo, Päivi Haapasaari

Environ. Model. Softw., 2020

2019

Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic student-t model.

Marcelo Hartmann, Jarno Vanhatalo

Stat. Comput., 2019

EcoMem: An R package for quantifying ecological memory.

Malcolm S. Itter, Jarno Vanhatalo, Andrew O. Finley

Environ. Model. Softw., 2019

A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data.

Jarno Vanhatalo, Zitong Li, Mikko J. Sillanpää

Bioinform., 2019

2018

Correcting boundary over-Exploration Deficiencies in Bayesian Optimization with Virtual derivative Sign observations.

Eero Siivola, Aki Vehtari, Jarno Vanhatalo, Javier González, Michael Riis Andersen

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

2013

GPstuff: Bayesian modeling with Gaussian processes.

Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, Aki Vehtari

J. Mach. Learn. Res., 2013

2012

Bayesian Modeling with Gaussian Processes using the MATLAB Toolbox GPstuff (v3.3)

Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, Aki Vehtari

CoRR, 2012

2011

Robust Gaussian Process Regression with a Student-<i>t</i> Likelihood.

Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari

J. Mach. Learn. Res., 2011

2010

Speeding up the binary Gaussian process classification.

Jarno Vanhatalo, Aki Vehtari

Proceedings of the UAI 2010, 2010

2009

Gaussian process regression with Student-t likelihood.

Jarno Vanhatalo, Pasi Jylänki, Aki Vehtari

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Modelling local and global phenomena with sparse Gaussian processes.

Jarno Vanhatalo, Aki Vehtari

Proceedings of the UAI 2008, 2008

2007

Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology.

Jarno Vanhatalo, Aki Vehtari

Proceedings of the Gaussian Processes in Practice, 2007