GAMM Juniors' Summer School on Applied Mathematics and Mechanics:
Learning Models from Data
Model Reduction, System Identification and Machine Learning
The aim of this summer school is to study recent developments in the area of learning models from data, which will be presented by three top-level experts in lectures and exercise classes. The combination and interplay of different techniques from physics-based modeling, data-driven modeling, model reduction, system identification and machine learning techniques shall bring together researchers from different disciplines.
In particular, the summer school is tailored for young researchers, i.e. master students in their final phase, PhD students and post-doctoral researchers.
Each participant is invited to present a poster on his/her own research with the emphasis on how learning techniques are used or are intended to be used.
See the event page for more details.