VIRTUAL MEETING: Learning Models from Data: Model Reduction, System Identification and Machine Learning // GAMM Juniors' Summer School on Applied Mathematics and Mechanics
Learning Models from Data: Model Reduction, System Identification and Machine Learning
- Start: Jul 27, 2020 08:45
- End: Jul 31, 2020 17:45
- Location: Max-Planck-Institut Magdeburg
- Host: GAMM Juniors
- Contact: email@example.com
The summer school will be held virtually. All participants will get access to the virtual lectures, exercise courses and discussions.
Objectives and Topics
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.
Lectures and exercise courses are given by
- J. Nathan Kutz (University of Washington)
- Benjamin Peherstorfer (New York University)
- Feliks Nüske (Paderborn University)