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Dr. Andreas Ruttor


Scientific Assistant
Office: MAR 4.019
Phone: +49 30 314-23938
E-Mail: andreas.ruttor <AT> tu-berlin.de

Consulting hour according to agreement.

Curriculum vitae

Andreas Ruttor
Born 1977

Academic Career
since 2007
Post-Doc Researcher at TU Berlin, Artificial Intelligence Group

Ph. D. in Physics, Universität Würzburg
Research Assistant at Universität Würzburg, Statistical Physics Group

Master in Physics, Universität Würzburg

Research Fields

  • Stochastic dynamical systems (exact and approximate inference, model selection)
  • Statistical learning theory (Gaussian processes, neural networks)
  • Statistical physics of complex systems
  • Applications: Systems biology, data analysis, cryptography


Bayesian Inference for Change Points in Dynamical Systems with Reusable States—a Chinese Restaurant Process Approach
Citation key Stimberg:2012:BIC
Author Florian Stimberg and Manfred Opper and Andreas Ruttor
Title of Book Proceedings of the International Conference on Artificial Intelligence and Statistics
Year 2012
ISSN 1938-7228
Journal JMLR W&CP
Volume 22
Abstract We study a model of a stochastic process with unobserved parameters which suddenly change at random times. The possible parameter values are assumed to be from a finite but unknown set. Using a Chinese restaurant process prior over parameters we develop an efficient MCMC procedure for Bayesian inference. We demonstrate the significance of our approach with an application to systems biology data.
Link to publication Link to original publication Download Bibtex entry

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Postal Address

TU Berlin
Fakultät IV
Elektrotechnik und Informatik
sec. MAR 4-2
Marchstrasse 23
D-10587 Berlin