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Michael Gutmann

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Bregman Divergence as General Framework to Estimate Unnormalized Statistical Models (UAI2011)

Complex-Valued Independent Component Analysis of Natural Images (ICANN2011)

Extracting Coactivated Features From Multiple Data Sets (ICANN2011)

Noise-contrastive estimation of unnormalized statistical models, and its application to natural image statistics (submitted)

Affiliation

Michael Gutmann

Postdoctoral researcher

Neuroinformatics Group
Helsinki Institute for Information Technology
Department of Computer Science
also partly affiliated with
Department of Mathematics and Statistics

Research topic

I do research in the overlapping fields of

- Machine learning and estimation theory

- Natural image statistics

- Computational neuroscience

Previous affiliations

For my PhD (till 2008):
Aihara Laboratory
Graduate School of Information Science and Technology
The University of Tokyo

For my MSc 1 (till 2004):
Department of Information Techology and Electrical Engineering
Swiss Federal Institute of Technology Zurich (ETH)

For my MSc 2 (till 2004):
Ecole Centrale des Arts et Manufactures Paris (ECP)

© Michael Gutmann, last update: June 2011