Berlin 2024 –
wissenschaftliches Programm
AKPIK 1: Reservoir Computing & Neural Networks
Dienstag, 19. März 2024, 09:30–11:00, MAR 0.002
 |
09:30 |
AKPIK 1.1 |
Minimal Reservoir Computing — •Haochun Ma, Davide Prosperino, and Christoph Räth
|
|
|
|
09:45 |
AKPIK 1.2 |
Novel implementations for reservoir computing -- from spin to charge — •Atreya Majumdar, Karin Everschor-Stte, Katharina Wolk, and Dennis Meier
|
|
|
|
10:00 |
AKPIK 1.3 |
Analyzing phase transitions in minimal reservoir computers — •Davide Prosperino, Haochun Ma, and Christoph Räth
|
|
|
|
10:15 |
AKPIK 1.4 |
Image reconstruction with diffusion models for accelerated magnetic resonance imaging — •Christine Müller, Vanya Saksena, Florian Knoll, and Bernhard Kainz
|
|
|
|
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
|
|
|
|
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
|
|
|
