T 33: Data, AI, Computing, Electronics III (ML in Jet Tagging, Misc.)
Dienstag, 1. April 2025, 16:15–17:45, VG 2.101
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16:15 |
T 33.1 |
Representation Learning — •Niklas Meier
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16:30 |
T 33.2 |
Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics — Oz Amram, Luca Anzalone, •Joschka Birk, Darius A. Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-Gonzalez, and David Shih
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16:45 |
T 33.3 |
LHCb’s neural network-based beauty trigger: Insights from Run 3 — •Nicole Schulte, Johannes Albrecht, Gregory Max Ciezarek, Blaise Delaney, and Niklas Nolte
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17:00 |
T 33.4 |
Domain adaptation in the context of flavour tagging at the LHCb experiment — Johannes Albrecht, Mirko Bunse, and •Quentin Führing
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17:15 |
T 33.5 |
Adversarial Studies on Jet-Flavor Tagging Machine Learning Algorithms using PAIReD Jets within the CMS Experiment — Alexander Jung, Spandan Mondal, Alexander Schmidt, Jan Schulz, and •Ulrich Willemsen
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17:30 |
T 33.6 |
Gravity Gradient Noise Mitigation using Deep Learning at the Einstein Telescope — Markus Bachlechner, David Bertram, Johannes Erdmann, •Jan Kelleter, Patrick Schillings, and Achim Stahl
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