Jouni Hartikainen

Researcher, M.Sc.

Postal Address:

BECS/Centre of Excellence

P.O. Box 12200

FIN-00076 AALTO, FINLAND

Visiting Address:

Room F322, F-Talo, 3rd Floor, Rakentajanaukio 2,

Espoo, Finland

Email:

forename.surname(at)aalto.fi

Research Activities

• Bayesian non-parametrics, e.g. Gaussian processes
• Dynamical systems
• Spatial and spatio-temporal models
• Approximate Bayesian inference

Publications

Journal Articles

1. Simo Särkkä and Jouni Hartikainen (2010). On Gaussian Optimal Smoothing of Non-Linear State Space Models. IEEE Transactions on Automatic Control, Volume 55, Issue 8, Pages 1938-1941. http://dx.doi.org/10.1109/TAC.2010.2050017. (Preprint as PDF)

Conference Articles

1. Robert Piché, Simo Särkkä and Jouni Hartikainen (2012). Recursive Outlier-Robust Filtering and Smoothing for Nonlinear Systems Using the Multivariate Student-t Distribution. Proceedings of MLSP, to appear.
2. Jouni Hartikainen, Mari Seppänen and Simo Särkkä (2012). State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction. In Proceedings of The 29th International Conference on Machine Learning (ICML 2012) (PDF,Matlab toolbox).
3. Simo Särkkä and Jouni Hartikainen (2012). Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression. JMLR Workshop and Conference Proceedings Volume 22: AISTATS 2012. (Preprint as PDF).
4. Jouni Hartikainen and Simo Särkkä (2011). Sequential Inference for Latent Force Models. In Proceedings of The 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011). (PDF).
5. Jouni Hartikainen, Jaakko Riihimäki and Simo Särkkä (2011). Sparse Spatio-Temporal Gaussian Processes with General Likelihoods. In Proceedings of International Conference on Artificial Neural Networks (ICANN). http://dx.doi.org/10.1007/978-3-642-21735-7_24 (Preprint as PDF).
6. Jouni Hartikainen and Simo Särkkä (2010). Kalman Filtering and Smoothing Solutions to Temporal Gaussian Process Regression Models. In Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP). (Preprint as PDF) (Demo).
7. Simo Särkkä and Jouni Hartikainen (2010). Sigma Point Methods in Optimal Smoothing of Non-Linear Stochastic State Space Models. In Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP). (Preprint as PDF).
8. Ari Tuononen and Jouni Hartikainen (2009). Tyre-road friction potential estimation by data fusion. In Proceedings of 12th Tyre-Chassis-Road Congress, Hannover, Germany, October 2009.

Abstracts, posters and talks

1. Jouni Hartikainen, Jarno Vanhatalo, Eero Pukkala ja Aki Vehtari. (2009). Spatio-Temporal Analysis of Disease Incidence with Sparse Gaussian Processes. Poster at 2nd Nordic-Baltic Biometric Conference, Tartu, Estonia, 2009.(pdf)
2. Jouni Hartikainen, Jarno Vanhatalo and Aki Vehtari (2008). Comparing Poisson and Negative Binomial likelihoods in Disease Mapping with Sparse Gaussian Processes. Poster at the international conference of the Royal Statistical Society 2008. (Abstract)

Thesis

• Jouni Hartikainen (2008). Sparse Gaussian Process Models in Bayesian Spatio-Temporal Analysis. M. Sc. Thesis, Department of Biomedical Engineering and Computational Science.

Teaching

• Course assistant in S-114.2601 Introduction to Bayesian Modeling

Software

• LFM Toolbox for Matlab (with Simo Särkkä)
• EKF/UKF Toolbox for Matlab (with Simo Särkkä and Arno Solin)
• RBMCDA Toolbox for Matlab (with Simo Särkkä)