Model Reduction and Surrogate Modeling (MORE)
19-23 Sep 2022 Berlin (Germany)
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Program
Week
Mon. 19
Tue. 20
Wed. 21
Thu. 22
Fri. 23
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‹
Friday, September 23, 2022
08:00
09:00
10:00
11:00
12:00
›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
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