Autumn school 2023

Course material for the autumn school in scientific machine learning, 9-13 October 2023, CWI Amsterdam.

Day 1: Closure models and turbulence

• Andrea Beck: slides
• Romit Maulik: slides
• Syver Agdestein, Benjamin Sanderse:
  • slides
  • code

Day 2: Reduced-order models

• Andrea Manzoni & Mengwu Guo, see Mengwu's website
• Karen Veroy: slides

Day 3: SINDy

• Steve Brunton: slides
• Urban Fasel:
  • Matlab code and slides
  • Python code PySINDy

Day 4: Operator and equivariant learning

• Paris Perdikaris: slides
• Erik Bekkers: slides and code

Day 5: Differentiable simulators

• Chris Rackauckas slides
  • Demonstration that standard uncorrected AD can produced incorrect results on ODE codes code
  • Demonstration code for how PDEBench's Burgers implementation is >100x slower than a proper classical inverse problem simulator and the optimization process code
• Hod Lipson: slides
• Benjamin Sanderse: wrap-up