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AKPIK 1: AKPIK I
Mittwoch, 1. April 2020, 16:30–18:30, H-HS XII
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16:30 |
AKPIK 1.1 |
Deep learning on stereoscopic CTA images — •Richard Wiemann, Maximilian Nöthe, and Lukas Nickel
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16:45 |
AKPIK 1.2 |
aict-tools -- Event Reconstruction for Imaging Air Cherenkov Telescopes — •Maximilian Nöthe and Lukas Nickel
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17:00 |
AKPIK 1.3 |
Real-time Data Analysis and Automation using Deep Learning at Accelerator-based light sources — •Mohammed Bawatna, Jan Deinert, and Sergey Kovalev
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17:15 |
AKPIK 1.4 |
Belle II pixeldetector cluster analyses using neural network algorithms — Stephanie Kaes, Irina Heinz, Soeren Lange, and •Katharina Dort for the Belle II collaboration
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17:30 |
AKPIK 1.5 |
Search for the supersymmetric tau lepton using Run2 data of the CMS experiment — •Leonid Didukh, Isabell Melzer-Pellmann, and Dirk Krücker
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17:45 |
AKPIK 1.6 |
Analyzing Radio Interferometric Data with Neural Networks — •Kevin Schmidt, Felix Geyer, and Simone Mender
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18:00 |
AKPIK 1.7 |
Reconstructing Interferometric Data Using Neural Networks — •Felix Geyer and Kevin Schmidt
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18:15 |
AKPIK 1.8 |
Information field theory: artifical intelligence with a knowledge driven design — •Torsten Enßlin
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