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Dr. Andreas Ruttor

Lupe [1]
Lupe [2]

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
Period
Occupation
since 2007
Post-Doc Researcher at TU Berlin, Artificial Intelligence Group

2007
Ph. D. in Physics, Universität Würzburg
2003-2007
Research Assistant at Universität Würzburg, Statistical Physics Group

2003
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

Publications

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Andreas Ruttor (2003). Schlüsselaustausch mit neuronalen Netzen [8]. Universität Würzburg


Andreas Ruttor and Wolfgang Kinzel and Lanir Shacham and Ido Kanter (2004). Neural cryptography with feedback [9]. Phys. Rev. E, 046110.


Andreas Ruttor and Georg Reents and Wolfgang Kinzel (2004). Synchronization of random walks with reflecting boundaries [10]. J. Phys. A: Math. Gen., 8609-8618.


Einat Klein and Rachel Mislovaty and Ido Kanter and Andreas Ruttor and Wolfgang Kinzel (2005). Synchronization of neural networks by mutual learning and its application to cryptography [11]. Advances in Neural Information Processing Systems. MIT Press, 689-696.


Andreas Ruttor and Wolfgang Kinzel and Ido Kanter (2005). Neural cryptography with queries [12]. J. Stat. Mech., P01009.


Andreas Ruttor and Wolfgang Kinzel and Rivka Naeh and Ido Kanter (2006). Genetic attack on neural cryptography [13]. Phys. Rev. E, 036121.


Andreas Ruttor and Ido Kanter and Wolfgang Kinzel (2007). Dynamics of neural cryptography [14]. Phys. Rev. E, 056104.


Andreas Ruttor (2007). Neural Synchronization and Cryptography [15]. University of Wuerzburg


Andreas Ruttor and Guido Sanguinetti and Manfred Opper (2009). Approximate inference for stochastic reaction processes [16]. Learning and Inference in Computational Systems Biology. The MIT Press, 189–205.


Andreas Ruttor and Manfred Opper (2009). Efficient Statistical Inference for Stochastic Reaction Processes [17]. Phys. Rev. Lett., 230601.


Guido Sanguinetti and Andreas Ruttor and Manfred Opper and Cedric Archambeau (2009). Switching Regulatory Models of Cellular Stress Response [18]. Bioinformatics, 1280-1286.


Guido Sanguinetti and Andreas Ruttor and Manfred Opper and Cédric Archambeau (2009). Switching Regulatory Models of Cellular Stress Response [19]. Bioinformatics


Andreas Ruttor and Guido Sanguinetti and Manfred Opper (2010). Approximate inference for stochastic reaction processes [20]. Learning and Inference in Computational Systems Biology. MIT Press, 189-205.


Andreas Ruttor and Manfred Opper (2010). Approximate parameter inference in a stochastic reaction-diffusion model [21]. Proceedings of The Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2010. JMLR, 669-676.


Manfred Opper and Andreas Ruttor and Guido Sanguinetti (2010). Approximate inference in continuous time Gaussian-Jump processes [22]. Advances in Neural Information Processing Systems 23, 1831–1839.


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Postal Address

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