SMuK 2023 –
wissenschaftliches Programm
AKPIK 4: Neural Networks II
Mittwoch, 22. März 2023, 15:45–17:00, ZEU/0118
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15:45 |
AKPIK 4.1 |
Morphological Classification of Radio Galaxies with wGAN-supported Augmentation — •Janis Kummer, Florian Griese, Lennart Rustige, Kerstin Borras, Marcus Brüggen, Patrick Connor, Frank Gaede, Gregor Kasieczka, Tobias Knopp, and Peter Schleper
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16:00 |
AKPIK 4.2 |
Uncertainty estimations for deep learning-based imaging — •Felix Geyer, Arne Poggenpohl, and Kevin Schmidt
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16:15 |
AKPIK 4.3 |
Partition Pooling for Convolutional Graph Network Applications in Particle Physics — •Philipp Soldin, Markus Bachlechner, Thilo Birkenfeld, Achim Stahl, and Christopher Wiebusch
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16:30 |
AKPIK 4.4 |
Gamma Source Detection using Deep Multitask Networks and Noisy Label Learning — •Lukas Pfahler
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16:45 |
AKPIK 4.5 |
Binary Black Hole Parameter Estimation using Deep Neural Networks — •Markus Bachlechner, David Bertram, Philipp Otto, Oliver Pooth, and Achim Stahl
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