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Material for workshop and autumn school on scientific machine learning 2023

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Workshop, December 2023

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Below you can find the presentations during the workshop on scientific machine learning, 6-8 December 2023, CWI Amsterdam.

Wednesday 6 December, Scientific computing with machine learning

Machine-learning-enhanced numerical methods, physics-informed machine learning

  • Jan Hesthaven (EPFL): slides
  • Xiaodong Cheng (Wageningen): slides
  • Benjamin Sanderse (CWI): slides
  • Stefania Fresca (Milan)
  • Richard Dwight (Delft): slides
  • Dongwei Ye (Twente): slides

Thursday 7 December, Scientific computing for machine learning

Mathematical and computational theories for machine learning

  • Sid Mishra (EPFL): slides
  • Aron Jansen (eScience center): slides
  • Silke Glas (Twente): slides
  • Andrea Walther (Berlin): slides
  • Matthias Möller (Delft): slides

Friday 8 December, Scientific machine learning in applications

Hybrid modeling and simulation for large-scale systems

  • Dirk Hartmann (Siemens): slides
  • Quercus Hernández Laín (Zaragoza): slides

Autumn school, October 2023

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

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Day 1: Closure models and turbulence

Day 2: Reduced-order models

Day 3: SINDy

Day 4: Operator and equivariant learning

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

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Material for workshop and autumn school on scientific machine learning 2023


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