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 12-16, 2022. We plan to have the school in presence, in accordance with the Corona rules then in force.
The school is primarily aimed at PhD students, but master students or more senior researchers are very welcome to apply as well. It will cover applications of machine learning to different fields of physics, as well as theoretical aspects of machine learning. 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.
Speakers:
- Annabelle Bohrdt (Harvard University)
- Giuseppe Carleo (EPFL, Lausanne)
- Alex Cole (Amsterdam University)
- Marylou Gabrie (École Polytechnique, Paris)
- Daniel Grün (LMU Munich)
- Theo Heimel, replacing Anja Butter (both Heidelberg University)
- Gitta Kutyniok (LMU Munich)
- Roger Melko (Perimeter Institute, Waterloo)
- Tilman Plehn (Heidelberg University)
- Danilo Rezende (DeepMind)
- Filippo Vicentini (EPFL, Lausanne)
Organizers
Michael Haack, Sven Krippendorf, Lode Pollet and Hartmut Ruhl
If you would like to participate via Zoom, please register under:
Lectures / tutorials in the main lecture room B052:
https://lmu-munich.zoom.us/meeting/register/tJckfu6gqj8rG9xQLLrXDA_njlG5QX_5fboD
Parallel sessions in room B051:
https://lmu-munich.zoom.us/meeting/register/tJcrdeCsqz0qGNdm80y9Sapyjba7IHBkM1os
Note that not all lectures / tutorials might be available via Zoom...
