SMuK 2023 –
wissenschaftliches Programm
AKPIK 1: Poster
Montag, 20. März 2023, 16:00–18:00, HSZ OG2
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16:00 |
AKPIK 1.1 |
Learning Electron Bunch Distribution along a Beamline by Normalising Flows — •Anna Willmann, Jurjen Couperus Cabadağ, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman, Michael Bussmann, Ulrich Schramm, and Nico Hoffmann
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16:00 |
AKPIK 1.2 |
Predicting volatile wind energy: Stochastic forward modeling and machine learning — Juan Medina, •Marten Klein, Mark Simon Schöps, and Heiko Schmidt
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16:00 |
AKPIK 1.3 |
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows — •Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Michael Bussmann, Marina Ganeva, and Nico Hoffmann
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16:00 |
AKPIK 1.4 |
Control System for Autonomous Race Car — •Vadim Melnik
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16:00 |
AKPIK 1.5 |
Quantum machine learning for calorimeter data generation — •Alexis-Harilaos Verney-Provatas, Kerstin Borras, and Dirk Krücker
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