ASC school 2022: Physics meets Artificial Intelligence
von
Montag, 12. September 2022(08:00)
bis
Freitag, 16. September 2022(23:30)
Montag, 12. September 2022
09:00
Generative Models, Manifolds and Symmetries: Tools
-
Danilo Rezende
(
Deepmind
)
Generative Models, Manifolds and Symmetries: Tools
Danilo Rezende
(
Deepmind
)
09:00 - 10:30
Room: B052
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: A027
11:00
Simulation-based inference for physics and beyond
-
Alex Cole
(
Amsterdam University
)
Simulation-based inference for physics and beyond
Alex Cole
(
Amsterdam University
)
11:00 - 12:30
Room: B052
12:30
Lunch break
Lunch break
12:30 - 14:30
14:30
Generative models and many-body physics
-
Roger Melko
(
Perimeter Institute, Waterloo
)
Generative models and many-body physics
Roger Melko
(
Perimeter Institute, Waterloo
)
14:30 - 16:00
Room: B052
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: A027
16:30
Understanding your network - towards interpretability in machine learning applications in many-body physics
-
Annabelle Bohrdt
(
Harvard University
)
Understanding your network - towards interpretability in machine learning applications in many-body physics
Annabelle Bohrdt
(
Harvard University
)
16:30 - 18:00
Dienstag, 13. September 2022
09:00
Generative Models, Manifolds and Symmetries: Applications
-
Danilo Rezende
(
DeepMind
)
Generative Models, Manifolds and Symmetries: Applications
Danilo Rezende
(
DeepMind
)
09:00 - 10:30
Room: B052
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: A027
11:00
Autoregressive models and quantum state reconstruction
-
Roger Melko
(
Perimeter Institute, Waterloo
)
Autoregressive models and quantum state reconstruction
Roger Melko
(
Perimeter Institute, Waterloo
)
11:00 - 12:30
Room: B052
12:30
Lunch break
Lunch break
12:30 - 14:30
14:30
Mathematical Foundations of Deep Learning
-
Gitta Kutyniok
(
LMU Munich
)
Mathematical Foundations of Deep Learning
Gitta Kutyniok
(
LMU Munich
)
14:30 - 16:00
Room: B052
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: A027
16:30
Machine learning for string theory
-
Alex Cole
(
Amsterdam University
)
Machine learning for string theory
Alex Cole
(
Amsterdam University
)
16:30 - 18:00
Room: B052
Tutorial: Quantum state reconstruction of Rydberg atom arrays
-
Roger Melko
(
Perimeter Institute, Waterloo
)
Tutorial: Quantum state reconstruction of Rydberg atom arrays
Roger Melko
(
Perimeter Institute, Waterloo
)
16:30 - 18:00
Room: B051
18:00
Postersession
Postersession
18:00 - 20:00
Room: Foyer
Mittwoch, 14. September 2022
09:00
Artificial Intelligence for Precision Cosmology
-
Daniel Grün
(
LMU Munich
)
Artificial Intelligence for Precision Cosmology
Daniel Grün
(
LMU Munich
)
09:00 - 10:30
Room: B052
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: A027
11:00
Beyond ground states: Assisting sampling of physical states with generative models
-
Marylou Gabrie
(
École Polytechnique, Paris
)
Beyond ground states: Assisting sampling of physical states with generative models
Marylou Gabrie
(
École Polytechnique, Paris
)
11:00 - 12:30
Room: B052
12:30
Lunch break
Lunch break
12:30 - 14:30
14:30
Reliable AI: Dream or Reality?
-
Gitta Kutyniok
(
LMU Munich
)
Reliable AI: Dream or Reality?
Gitta Kutyniok
(
LMU Munich
)
14:30 - 16:00
Room: B052
16:00
Free afternoon
Free afternoon
16:00 - 18:00
18:00
Beergarden (weather permitting)
Beergarden (weather permitting)
18:00 - 22:00
Donnerstag, 15. September 2022
09:00
Beyond ground states: Assisting sampling of physical states with generative models
-
Marylou Gabrie
(
École Polytechnique, Paris
)
Beyond ground states: Assisting sampling of physical states with generative models
Marylou Gabrie
(
École Polytechnique, Paris
)
09:00 - 10:30
Room: B052
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: A027
11:00
Neural network quantum states: from ground states to dynamics
-
Giuseppe Carleo
(
EPFL, Lausanne
)
Neural network quantum states: from ground states to dynamics
Giuseppe Carleo
(
EPFL, Lausanne
)
11:00 - 12:30
Room: B052
12:30
Lunch break
Lunch break
12:30 - 14:30
14:30
ML and LHC Physics
-
Tilman Plehn
(
Heidelberg University
)
ML and LHC Physics
Tilman Plehn
(
Heidelberg University
)
14:30 - 16:00
Room: B052
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: A027
16:30
Boosting event generation & unfolding with generative networks
-
Theo Heimel
(
Heidelberg University
)
Tilman Plehn
(
Heidelberg University
)
Boosting event generation & unfolding with generative networks
Theo Heimel
(
Heidelberg University
)
Tilman Plehn
(
Heidelberg University
)
16:30 - 18:00
Room: B051
Neural network quantum states: from ground states to dynamics
-
Giuseppe Carleo
(
EPFL, Lausanne
)
Neural network quantum states: from ground states to dynamics
Giuseppe Carleo
(
EPFL, Lausanne
)
16:30 - 18:00
Room: B052
18:00
Postersession
Postersession
18:00 - 20:00
Room: Foyer
Freitag, 16. September 2022
09:00
Bayesian Networks and Uncertainties
-
Tilman Plehn
(
Heidelberg University
)
Bayesian Networks and Uncertainties
Tilman Plehn
(
Heidelberg University
)
09:00 - 10:30
Room: B052
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: A027
11:00
Boosting event generation & unfolding with generative networks
-
Tilman Plehn
(
Heidelberg University
)
Theo Heimel
(
Heidelberg University
)
Boosting event generation & unfolding with generative networks
Tilman Plehn
(
Heidelberg University
)
Theo Heimel
(
Heidelberg University
)
11:00 - 12:30
Room: B051
NetKetl: hands-on tutorial on neural network quantum states (Tutorial)
-
Filippo Vicentini
(
EPFL, Lausanne
)
NetKetl: hands-on tutorial on neural network quantum states (Tutorial)
Filippo Vicentini
(
EPFL, Lausanne
)
11:00 - 12:30
Room: B052