PhD and Habilitation Theses

Sacha Sokoloski, 2019
  • Implementing Bayesian inference with neural network
  • Sokoloski, S.
  • Univeristät Leipzig
  • Open Access
Juan Pablo Vigneaux, 2019
  • Topology of statistical systems : a cohomological approach to information theory
  • Vigneaux, J. P.
  • Universität Paris
  • Open Access
Keyan Ghazi-Zahedi, 2018
  • Morphological intelligence : information-theoretic quantifications of the morphological contribution to intelligence
  • Ghazi-Zahedi, K.
  • Univeristät Leipzig
Yuri Campbell-Borges, 2017
  • Large deviation results for likelihood ratios and hypothesis testing on quantum spin chains
  • Campbell-Borges, Y. C.
  • Universität Leipzig
Holger Bernigau, 2015
  • Causal models over infinite graphs and their application to the sensorimotor loop : general stochastic aspects and gradient methods for optimal control
  • Bernigau, H.
  • Universität Leipzig
  • Open Access
Guido Montúfar, 2012
  • On the expressive power of discrete mixture models, restricted Boltzmann machines, and deep belief networks - a unified mathematical treatment
  • Montúfar, G.
  • Univeristät Leipzig
  • Open Access
Johannes Rauh, 2011
  • Finding the maximizers of the information divergence from an exponential family
  • Rauh, J.
  • Univeristät Leipzig
  • Open Access
Thomas Kahle, 2010
  • On boundaries of statistical models
  • Kahle, T.
  • Univeristät Leipzig
  • Open Access
Wolfgang Löhr, 2010
  • Models of discrete-time stochastic processes and associated complexity measures
  • Löhr, W.
  • Univeristät Leipzig
  • Open Access
Keyan Ghazi-Zahedi, 2009
  • Self-regulating neurons : a model for synaptic plasticity in artificial recurrent neural networks
  • Ghazi-Zahedi, K.
  • Universität Osnabrück
  • Open Access
Nihat Ay, 2009
  • Multi-information as guiding scheme for complexity theory
  • Ay, Nihat
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
Nihat Ay, 2001
  • Aspekte einer Theorie pragmatischer Informationsstrukturierung
  • Ay, Nihat
  • Universität Leipzig