Below you can find the presentations during the workshop on scientific machine learning, 6-8 December 2023, CWI Amsterdam.
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
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
Hybrid modeling and simulation for large-scale systems
Course material for the autumn school in scientific machine learning, 9-13 October 2023, CWI Amsterdam.
- Andrea Manzoni & Mengwu Guo, see Mengwu's website
- Karen Veroy: slides
- Steve Brunton: slides
- Urban Fasel:
- Paris Perdikaris: slides
- Erik Bekkers: slides and code