ASC school 2022: Physics meets Artificial Intelligence

12.09.2022, 08:00 → 16.09.2022, 23:30 Europe/Berlin

B052 (ASC)

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...

Montag, 12. September

09:00 → 10:30 Generative Models, Manifolds and Symmetries: Tools

Sprecher: Danilo Rezende (Deepmind)

10:30 → 11:00 Coffee break

11:00 → 12:30 Simulation-based inference for physics and beyond

Sprecher: Alex Cole (Amsterdam University)

12:30 → 14:30 Lunch break

14:30 → 16:00 Generative models and many-body physics

Sprecher: Roger Melko (Perimeter Institute, Waterloo)

16:00 → 16:30 Coffee break

16:30 → 18:00 Understanding your network - towards interpretability in machine learning applications in many-body physics

Sprecher: Annabelle Bohrdt (Harvard University)

Dienstag, 13. September

09:00 → 10:30 Generative Models, Manifolds and Symmetries: Applications

Sprecher: Danilo Rezende (DeepMind)

10:30 → 11:00 Coffee break

11:00 → 12:30 Autoregressive models and quantum state reconstruction

Sprecher: Roger Melko (Perimeter Institute, Waterloo)

12:30 → 14:30 Lunch break

14:30 → 16:00 Mathematical Foundations of Deep Learning

Sprecher: Gitta Kutyniok (LMU Munich)

16:00 → 16:30 Coffee break

16:30 → 18:00 Machine learning for string theory

Sprecher: Alex Cole (Amsterdam University)

16:30 → 18:00 Tutorial: Quantum state reconstruction of Rydberg atom arrays

Sprecher: Roger Melko (Perimeter Institute, Waterloo)

18:00 → 20:00 Postersession

Mittwoch, 14. September

09:00 → 10:30 Artificial Intelligence for Precision Cosmology

Sprecher: Daniel Grün (LMU Munich)

10:30 → 11:00 Coffee break

11:00 → 12:30 Beyond ground states: Assisting sampling of physical states with generative models

Sprecher: Marylou Gabrie (École Polytechnique, Paris)

12:30 → 14:30 Lunch break

14:30 → 16:00 Reliable AI: Dream or Reality?

Sprecher: Gitta Kutyniok (LMU Munich)

16:00 → 18:00 Free afternoon

18:00 → 22:00 Beergarden (weather permitting)

Donnerstag, 15. September

09:00 → 10:30 Beyond ground states: Assisting sampling of physical states with generative models

Sprecher: Marylou Gabrie (École Polytechnique, Paris)

10:30 → 11:00 Coffee break

11:00 → 12:30 Neural network quantum states: from ground states to dynamics

Sprecher: Giuseppe Carleo (EPFL, Lausanne)

12:30 → 14:30 Lunch break

14:30 → 16:00 ML and LHC Physics

Sprecher: Tilman Plehn (Heidelberg University)

16:00 → 16:30 Coffee break

16:30 → 18:00 Boosting event generation & unfolding with generative networks

Sprecher: Theo Heimel (Heidelberg University), Tilman Plehn (Heidelberg University)

16:30 → 18:00 Neural network quantum states: from ground states to dynamics

Sprecher: Giuseppe Carleo (EPFL, Lausanne)

18:00 → 20:00 Postersession

Freitag, 16. September

09:00 → 10:30 Bayesian Networks and Uncertainties

Sprecher: Tilman Plehn (Heidelberg University)

10:30 → 11:00 Coffee break

11:00 → 12:30 Boosting event generation & unfolding with generative networks

Sprecher: Theo Heimel (Heidelberg University), Tilman Plehn (Heidelberg University)

11:00 → 12:30 NetKetl: hands-on tutorial on neural network quantum states (Tutorial)

Sprecher: Filippo Vicentini (EPFL, Lausanne)