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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


Approximate inference for stochastic reaction processes
Citation key Ruttor:2010:AIS
Author Andreas Ruttor and Guido Sanguinetti and Manfred Opper
Title of Book Learning and Inference in Computational Systems Biology
Pages 189-205
Year 2010
Editor Neil D. Lawrence and Mark Girolami and Magnus Rattray and Guido Sanguinetti
Publisher MIT Press
Abstract We discuss the problem of statistical inference for Markov jump processes modelling biochemical reactions. Using a variational formulation of exact inference we derive two different approximations. A weak noise approach within a diffusion approximation is relevant when the number of individuals of a given species is rather large. On the other hand a mean field approximation takes the discreteness of the number of individuals into account but neglects correlations.
Link to publication Link to original publication Download Bibtex entry

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