Research of the Bayes group

• Deep learning
• Bayesian modeling and variational learning
• Theoretical improvements in variational Bayes
• Extensions of probabilistic PCA
• Time-series modelling in bioinformatics
• Dynamic modeling using nonlinear state-space models
• Dynamical models in systems biology
• Automated segmentation of brain MR images

Earlier research topics

• Building blocks for variational Bayesian learning
• Hierarchical modeling of variances
• Nonlinear and non-negative blind source separation
• Relational models
• Applications to astronomy

NEW! The Bayes chapter of the biennial report of our Adaptive Informatics Research Centre covering the years 2008-2009 contains extended summaries on our recent research results with references.

Previous research results

You can find information on the earlier research results of our Bayes group from the biennial reports covering the years 2008-2009, 2006-2007, 2004-2005, 2002-2003, and 2000-2001.

Some of our research results have been described under the activities of the Independent component analysis (ICA) group of HUT, which studies ICA, blind source separation (BSS), and their extensions. For more detailed information, see the research reports of our ICA group covering the years 2008-2009, 2006-2007, 2004-2005, and 2002-2003, as well as theoretical ICA research in 2000-2001, and applications of ICA in 2000-2001.

Figure caption

A lake view in Nuuksio national park in Espoo, about 25 km northwest from our laboratory.