On-going research

The focus of our current research is to improve sample efficiency of deep learning and deep reinforcement learning.

Some papers published on these topics:

Earlier research topics

You can find more information on the earlier research results of our group under its older name Bayesian learning of latent variable models: 2010-2011, 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 2010-2011, 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.