Scheduled presentations:

• Data-driven Computation of Nonlinear Normal Modes via Analytic Extended Dynamic Mode Decomposition
  *A. Mauroy (University of Namur)
• Operator-Theoretic Dynamic Programming Methods for Data-Driven Optimal Control
  *B. Houska (ShanghaiTech)
• Exploiting Nonlinearity in Transfer Operator Approaches to Achieve more Robust Data-Driven Predictors
  *A. Herwig (University of Cambridge), M. Colbrook (University of Cambridge), N. Kutz (University of Washington)
• Equivariant Koopman Analysis of Dislocation Data Accounting for Translational and Crystal Symmetry
  *T. Hochrainer (Graz University of Technology), N. Heinemann (Graz University of Technology), B. Heininger (Graz University of Technology)
• Optimization of Randomized Neural Networks for Transfer Operator Approximation
  *M. Tabish (Maxwell Institute for Mathematical Sciences), S. Klus (Heriot-Watt University)
• Accurate and Robust Analysis of Molecular Kinetics with Koopman Operators and Random Features
  H. Sprink (Otto-von-Guericke Universität Magdeburg), Y. Zhu (University of Edinburgh), A. Mey (University of Edinburgh), *F. Nüske (Max-Planck-Institute DCTS Magdeburg)