Connecting the international and national research community
This event is aimed at bringing together Dutch researchers who are working in or interested in the emerging topic of Scientific Machine Learning. For example, researchers with a background in applied mathematics, computational physics or computer science, both early career and senior researchers.
Benjamin Sanderse (Centrum Wiskunde & Informatica, the Netherlands)
Mengwu Guo (University of Twente, the Netherlands)
Alexander Heinlein (TU Delft)
Wednesday 6 December
Scientific computing with machine learning
Machine-learning-enhanced numerical methods, physics-informed machine learning
09:30 coffee and registration
10:00 opening welcome
10:05 Jan Hesthaven [keynote], Neural networks as closure models
11:00 coffee
11:30 Dongwei Ye (Twente), Gaussian process learning of nonlinear dynamics
12:00 Benjamin Sanderse (CWI), Structure-preserving learning of embedded closure models
12:30 lunch
13:30 Stefania Fresca [keynote], Deep learning and reduced order modeling in life science applications
14:30 Richard Dwight (Delft), Towards generalizable RANS modelling using invariance recovery
15:00 Xiaodong Cheng (Wageningen), Machine Learning Approaches for Model Identification: Applications in Agriculture Systems
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 Aron Jansen (eScience center), Learning what protons are made of
11:30 Silke Glas (Twente)
12:00 lunch
13:00 Andrea Walther [keynote], Backpropagation and Nonsmooth Optimization for Machine Learning
14:00 Matthias Möller (Delft)
14:30 coffee
15:00 Panel discussion led by AI for Mathematics (AIM)
16:30 drinks followed by 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
Registration for the workshop is 75 euros. The workshop fee covers coffee, tea, lunches, and the joint dinner. We still have a few spots available, if you are interested please contact Nada Mitrovic.
Cancellation policy.
Cancellation before 24 November will receive full refund, after this date no refund.
If you are unable to attend, please cancel as soon as possible so we can facilitate someone else. Contact Nada Mitrovic.
Interested participants may make a hotel reservation at Hotel Casa (Eerste Ringdijkstraat 4, Amsterdam). Hotel Casa is conveniently located near Amstel train station and from there you can walk, cycle or take the bus to CWI.
Jointly organised by
Overview of the Research Semester Programme Scientific Machine Learning.
