Model Reduction and Surrogate Modeling (MORE)

›8:30 (45min)

Plenary
Chair: Karsten Urban

› H 1012

8:30 - 9:15 (45min)

Plenary

H 1012

Chair: Karsten Urban

› Deep learning for reduced order modeling - Andrea Manzoni, MOX - Department of Mathematics, Politecnico di Milano 08:30-09:15 (45min)

›9:20 (1h15)

Session 8
Chair: Karsten Urban

› H 1012

9:20 - 10:35 (1h15)

Session 8

H 1012

Chair: Karsten Urban

› Generating reduced order models parallel in time via random sampling - Julia Schleuß, Faculty of Mathematics and Computer Science, University of Münster 09:20-09:45 (25min)

› The local sample complexity of non-linear least squares approximation - Philipp Trunschke, Nantes Université 09:45-10:10 (25min)

› Randomized local model order reduction for nonlinear PDEs - Kathrin Smetana, Stevens Institute of Technology 10:10-10:35 (25min)

›10:35 (25min)

Coffee break

› H 3005/3006

10:35 - 11:00 (25min)

Coffee break

H 3005/3006

›11:00 (50min)

Session 9
Chair: Sara Grundel

› H 1012

11:00 - 11:50 (50min)

Session 9

H 1012

Chair: Sara Grundel

› Context-aware learning of low-dimensional stabilizing controllers in the scarce data regime - Steffen W. R. Werner, Courant Institute of Mathematical Sciences, New York University 11:00-11:25 (25min)

› Slow collective dynamics via data-driven approximation of the Koopman generator - Feliks Nüske, Max Planck Institute for Dynamics of Complex Technical Systems 11:25-11:50 (25min)

›11:55 (45min)

Plenary
Chair: Sara Grundel

› H 1012

11:55 - 12:40 (45min)

Plenary

H 1012

Chair: Sara Grundel

› Structure-preserving reduced-order models for parametric cross-diffusion systems - Virginie Ehrlacher, CERMICS, Paris 11:55-12:40 (45min)

›12:40 (10min)

Closing

› H 1012

12:40 - 12:50 (10min)

Closing

H 1012