2020 Arnold Sommerfeld School
The Arnold Sommerfeld Center for Theoretical Physics at the LMU in Munich will host a school on “Physics meets Artificial Intelligence” in the period September 14-18, 2020.
The school is primarily aimed at PhD students. It will cover applications of machine learning to different fields of physics, as well as general topics in information theory. The format will be a mix of review and specialized talks, interspersed with hands on exercises. There will also be a poster session where the students can present their work.
- Annabelle Bohrdt (TU Munich)
- Giuseppe Carleo (Flatiron Institute, New York)
- Jim Halverson (Northeastern University, Boston)
- Ke Liu (LMU Munich)
- Roger Melko (Perimeter Institute, Waterloo)
- Frank Noé (FU Berlin)
- Kerstin Paech (LMU Munich)
- Jeffrey Pennington (Google Brain), TBC
- Renato Renner (ETH Zürich)
- Danilo Rezende (DeepMind), TBC
- Fabian Ruehle (CERN & Oxford University)
Michael Haack, Sven Krippendorf, Lode Pollet and Hartmut Ruhl
Please apply using the application form before May 31, 2020. Due to space limitation we might not be able to accept all applicants. We will inform you about the approval or refusal of your application before June 20. There is no fee but you will have to arrange your trip and accommodation yourself. You can find a list of hostels and hotels close to the ASC here. Note that the school takes place just before the Oktoberfest and, thus, hotel prices will increase enormously starting from the night after the school.
Arnold Sommerfeld Center for Theoretical Physics
Lecture hall: B052
This is downtown Munich and it is reachable by underground (take line U3 or U6 to stop Universität or line U2 to stop Theresienstraße) and by tram (take line 27 to stop Pinakotheken).