Wednesday 6 December
Scientific computing with machine learning
Machine-learning-enhanced numerical methods, physics-informed machine learning

09:30 coffee and registration
10:00 Jan Hesthaven [keynote], Neural networks as closure models
11:00 coffee
11:30 2*30 min. talks => Dongwei Yue (Twente); Benjamin Sanderse (CWI)
12:30 lunch
13:30 Stefania Fresca [keynote]
14:30 2*30 min. talks => Richard Dwight (Delft); Xiaodong Cheng (Wageningen)
15:30 poster session with drinks and bites
~17:00 end

 

Thursday 7 December
Scientific computing for machine learning
Mathematical and computational theories for machine learning

09:30 Sid Mishra [keynote]
10:30 Coffee
11:00 2*30 min. talks =>Aron Jansen (eScience center); Silke Glas (Twente)
12:00 Lunch
13:00 Andrea Walther [keynote]
14:00 1*30 min. talk => Matthias Möller (Delft)
14:30 coffee
15:00 Panel discussion led by AI for Mathematics (AIM)
~16:30 end

17:30 Dinner

 

Friday 8 December
Scientific machine learning in applications
Hybrid modeling and simulation for large-scale systems

09:30 Dirk Hartmann [keynote], Scientific Machine Learning in the Context of the Digital Twin - An industrial point of view
10:30 Coffee
11:00 Quercus Hernández Laín [keynote], Structure-preserving machine learning for dissipative systems: methods and applications
12:00 Lunch
13:00 end