Karlsruhe 2024 –
wissenschaftliches Programm
T 43: Data, AI, Computing 3 (pointclouds & graphs)
Dienstag, 5. März 2024, 16:00–18:15, Geb. 30.33: MTI
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16:00 |
T 43.1 |
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation — Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, •Anatolii Korol, William Korcari, Katja Krüger, and Peter McKeown
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16:15 |
T 43.2 |
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information — •Joschka Birk, Erik Buhmann, Cedric Ewen, Gregor Kasieczka, and David Shih
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16:30 |
T 43.3 |
Graph Neural Network based Hit Classification for Tracking at Belle II — •Greta Heine, Torben Ferber, Lea Reuter, and Slavomira Stefkova
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16:45 |
T 43.4 |
Graph Neural Network based Tracking at Belle II — •Lea Reuter, Giacomo De Pietro, Torben Ferber, and Slavomira Stefkova
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17:00 |
T 43.5 |
Search for fractionally charged particles with Graph Neural Networks — •Alexander Sandrock and Timo Stürwald
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17:15 |
T 43.6 |
Photon Reconstruction with Graph Neural Networks at Beamdump Experiments — •Kylian Schmidt, Torben Ferber, Alexander Heidelbach, Jan Kieseler, and Markus Klute
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17:30 |
T 43.7 |
Improvement of GNN energy regression for KM3Net/ORCA with weighted training samples — •Bastian Setter for the ANTARES-KM3NET-ERLANGEN collaboration
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17:45 |
T 43.8 |
Enhancing Neutrino Event Classification in the IceCube Observatory Using a Neural-Network Approach — •Philipp Soldin, Jakob Böttcher, Philipp Fürst, Erik Ganster, Michael Handt, Johanna Hermannsgabner, and Christopher Wiebusch
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18:00 |
T 43.9 |
The contribution has been withdrawn.
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