SMuK 2023 –
wissenschaftliches Programm
T 34: ML Methods II
Dienstag, 21. März 2023, 17:00–18:30, HSZ/0405
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17:00 |
T 34.1 |
Equivariant Normalising Flows for Particle Jets — •Cedric Ewen
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17:15 |
T 34.2 |
Identification of bb-Jets Using a Deep-Sets-Based Flavour-Tagging Algorithm with the ATLAS Experiment — •Joschka Birk, A. Froch, M. Guth, and A. Knue
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17:30 |
T 34.3 |
Improving the robustness of jet tagging algorithms with adversarial training — •Hendrik Schönen, Annika Stein, Judith Bennertz, Xavier Coubez, Alexander Jung, Summer Kassem, Ming-Yan Lee, Spandan Mondal, Alexandre de Moor, Andrzej Novak, and Alexander Schmidt
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17:45 |
T 34.4 |
Binning high-dimensional classifier output for HEP analyses through a clustering algorithm — •Svenja Diekmann, Niclas Eich, and Martin Erdmann
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18:00 |
T 34.5 |
Resonant anomaly detection without background sculpting — •Manuel Sommerhalder, Gregor Kasieczka, Tobias Quadfasel, Anna Hallin, and David Shih
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18:15 |
T 34.6 |
ANN for Pulse Shape Analysis in GERDA — •Vikas Bothe for the GERDA collaboration
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