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SKM 2021 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 16: Machine Learning in Dynamical Systems and Statistical Physics (joint session DY/BP)

Freitag, 1. Oktober 2021, 11:15–12:30, H2

11:15 DY 16.1 Tayloring Reservoir Computing Performance via Delay Time Tuning — •Tobias Hülser, Felix Köster, and Kathy Lüdge
11:30 DY 16.2 Employing artificial neural networks to find reaction coordinates and pathways for self-assembly — •Jörn Appeldorn, Arash Nikoubashman, and Thomas Speck
11:45 DY 16.3 Efficient Bayesian estimation of the generalized Langevin equation from data — •Clemens Willers and Kamps Oliver
12:00 DY 16.4 Master memory function for delay-based reservoir computers — •Felix Köster, Serhiy Yanchuk, and Kathy Lüdge
12:15 DY 16.5 Investigating the role of Chaos and characteristic time scales in Reservoir ComputingMarvin Schmidt, Yuriy Mokrousov, Stefan Blügel, Abigail Morrison, and •Daniele Pinna
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