8th GAMM Juniors Summer School: Scientific Machine Learning
Date: 31.07.2023-04.08.2023
The Summer Schools on Applied Mathematics and Mechanics (SAMMs) are organized by the GAMM Juniors, i.e. the representatives of young researchers within the organization of GAMM. All important information regarding the event and the registration can be found by clicking on the content toggles below.
Keywords: Machine Learning; Material Modelling; Mechanics; Mathematical Foundations of AI
Who?
The summer school addresses young researchers from mathematics and engineering who are already working in the field of scientific machine learning or are interested in the field. It is primarily meant for PhD students, but also Master students or PostDocs are very welcome. We encourage people from both mathematics and engineering to participate.
When?
31. July 2023 – 04. August 2023
Where?
The summer school will be on-site in Hannover, Germany. The venue is located at:
Leibniz University Hanover
Welfengarten 1
30167 Hannover
Registration
Registration fee is 50 €. More details follow once the registration has been done. The number of participants is limited on a first-come first-served basis.
Registration deadline is June 18th. Registration can be done via the following form:
https://forms.gle/WsZvVsRN8YTcaFgi8
The available places have been filled and registrations will be placed on the waiting list.
If you want to give a presentation about your research related to the topic of the summer school on the last day, indicate so during registration. Please keep in mind that there will not be enough time for everyone to hold a presentation and therefore we might have to do a selection. We will tell you later on if you will be able to do so.
Topics
- Mathematical Foundations of machine learning
- Machine learning approaches to scientific and engineering computing
- Artificial neural networks for solving partial differential equations in mechanical engineering applications
The school includes lectures as well as some programming sessions.
Lecturers
Prof. Dr. Gitta Kutyniok
Mathematical Data Science and Artificial Intelligence
Department of Mathematics
Ludwig-Maximilians-Universität München
Prof. Dr. Oliver Weeger
Cyber-Physical Simulation Group
Department of Mechanical Engineering
Technical University of Darmstadt
Prof. Dr. Dennis Kochmann
Institute for Mechanical Systems
Department of Mechanical and Process Engineering
ETH Zürich
Accommodation
Follows soon.
Location
Follows soon.
Contact information
For questions please write an e-mail to
Organizers
Christoph, Böhm, Leibniz University Hannover
Margarita Chasapi, EPFL
Idoia Cortes Garcia, Eindhoven University of Technology
Alexander Henkes, TU Braunschweig
Roland Maier, Friedrich Schiller University Jena
Time slot | Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|---|
09:00-10:30 | Kutyniok | Weeger | Kochmann | KI4ALL | |
10:30-11:00 | Coffee | Coffee | Coffee | Coffee | |
11:00-12:30 | Arrival & Registration | Kutyniok | Weeger | Kochmann | Presentations |
12:30-14:00 | Lunch | Lunch | Lunch | Lunch | 13:00-13:05: Closing |
14:00-15:30 | 14:00-15:00: Opening & Introduction 15:00-15:30: Coffee | Weeger | Kochmann | Coding | |
15:30-16:00 | 15:30-17:00: Kutyniok | Coffee | Coffee | Coffee | |
16:00-18:00 | Ice breaking | Coding | Dinner | Coding |