407 citations · 1.4k across the 17 of their papers we have counts for
4 papers · 1 filter
Tutorial: Photonic Neural Networks in Delay Systems
D. Brunner, B. Penkovsky, B. A. Marquez +3
Photonic delay systems have revolutionized the hardware implementation of Recurrent Neural Networks and Reservoir Computing in particular. The fundamental principles of Reservoir C…
Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks
Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer +1
We design scalable neural networks adapted to translational symmetries in dynamical systems, capable of inferring untrained high-dimensional dynamics for different system sizes. We…
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing
André Röhm, Daniel J. Gauthier, Ingo Fischer
Reservoir computers are powerful tools for chaotic time series prediction. They can be trained to approximate phase space flows and can thus both predict future values to a high ac…
56 GBaud PAM-4 100 km Transmission System with Photonic Processing Schemes
Irene Estébanez, Shi Li, Janek Schwind +3
Analog photonic computing has been proposed and tested in recent years as an alternative approach for data recovery in fiber transmission systems. Photonic reservoir computing, per…