Aim
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.
Preliminary schedule and confirmed speakers
Wednesday December 6: Scientific computing with machine learning
Machine-learning-enhanced numerical methods, physics-informed machine learning
Speakers: Jan Hesthaven (EPFL Lausanne), Stefania Fresca (Politecnico di Milano)
Thursday December 7: Scientific computing for machine learning
Mathematical and computational theories for machine learning
Speakers: Sid Mishra (ETH Zurich), Andrea Walther (Humboldt Universität Berlin)
Friday December 8: Scientific machine learning in applications
Hybrid modeling and simulation for large-scale systems
Speakers: Dirk Hartmann (Siemens), Elías Cueto (Universidad de Zaragoza)
Organizers
Benjamin Sanderse (Centrum Wiskunde & Informatica)
Mengwu Guo (Universiteit Twente)
Alexander Heinlein (TU Delft)
Overview of the Research Semester Programme Scientific Machine Learning.
