A substantial part of the seminar will be devoted to developing the mathematical foundations of classical models from statistical physics such as Gibssian systems, bootstrap percolation and random processes with reinforcement. In the final talks, we discuss more recent articles adapting these models to the special features that are characteristic for neural networks. The prerequisite for the seminar is an introductory course in probability theory.Target audience. Master Mathematics, Master Financial and Insurance Mathematics, TMP. Prerequisite. An introductory course in probability theory.
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