Berlin 2024 –
scientific programme
AKPIK 1: Reservoir Computing & Neural Networks
Tuesday, March 19, 2024, 09:30–11:00, MAR 0.002
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09:30 |
AKPIK 1.1 |
Minimal Reservoir Computing — •Haochun Ma, Davide Prosperino, and Christoph Räth
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09:45 |
AKPIK 1.2 |
Novel implementations for reservoir computing -- from spin to charge — •Atreya Majumdar, Karin Everschor-Stte, Katharina Wolk, and Dennis Meier
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10:00 |
AKPIK 1.3 |
Analyzing phase transitions in minimal reservoir computers — •Davide Prosperino, Haochun Ma, and Christoph Räth
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10:15 |
AKPIK 1.4 |
Image reconstruction with diffusion models for accelerated magnetic resonance imaging — •Christine Müller, Vanya Saksena, Florian Knoll, and Bernhard Kainz
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10:30 |
AKPIK 1.5 |
Performance of RBM neural quantum states from the perspective of the quantum geometric tensor — •Sidhartha Dash, Filippo Vicentini, Michel Ferrero, and Antoine Georges
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10:45 |
AKPIK 1.6 |
Physics-Informed Deep Learning to Couple Reactive Diffusion and Swelling in Cellulose-based Porous Media — •Alexandra Serebrennikova, Maximilian Fuchs, Raimund Teubler, and Karin Zojer
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