Mathematical Foundations and Statistical Learning

We create, extend, and refine mathematical techniques in three major fields. We aim at a comprehensive, mathematically sound framework for learning transformation rules in abstract rewriting systems, we develop new methods for stochastic models addressing the often-observed problem of outliers in classification or stochastic time series, and we advance the field of learning theory in various respects.

Contact

Portrait of Prof. Dr. Markus Scholz

Prof. Dr. Markus Scholz

University of Leipzig

markus.scholz@imise.uni-leipzig.de

Find out more about our research in the field of AI Algorithms and Methods.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut