SMuK 2023 –
wissenschaftliches Programm
T 10: ML Methods I
Montag, 20. März 2023, 16:30–18:00, HSZ/0405
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16:30 |
T 10.1 |
Fooling IceCube's Deep Neural Networks — •Oliver Janik, Markus Bachlechner, Thilo Birkenfeld, Philipp Soldin, Christopher Wiebusch, and Katharina Winkler for the IceCube collaboration
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16:45 |
T 10.2 |
Generating Calorimeter Showers as Point Clouds — •Simon Schnake, Kerstin Borras, and Dirk Krücker
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17:00 |
T 10.3 |
DeepTreeGAN: Fast Generation of High Dimensional Point Clouds for Calorimeter Simulation — •Moritz Scham, Dirk Krücker, and Kerstin Borras
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17:15 |
T 10.4 |
Particle identification at Belle II using Neural Networks — •xavier simo, daniel greenwald, stefan wallner, and stephan paul
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17:30 |
T 10.5 |
Reconstruction of Full Decays using Transformers and Hyperbolic Embedding at Belle II — •Boyang Yu, Hosein Hashemi, Nikolai Hartmann, and Thomas Kuhr
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17:45 |
T 10.6 |
The Federation - A novel machine learning technique applied on data from the Higgs Boson Machine Learning Challenge — •Maximilian Mucha and Eckhard von Törne
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