Search Results for author: Ingo Fischer

Found 7 papers, 1 papers with code

Learning unseen coexisting attractors

no code implementations28 Jul 2022 Daniel J. Gauthier, Ingo Fischer, André Röhm

Reservoir computing is a machine learning approach that can generate a surrogate model of a dynamical system.

BIG-bench Machine Learning

56 GBaud PAM-4 100 km Transmission System with Photonic Processing Schemes

no code implementations17 May 2021 Irene Estébanez, Shi Li, Janek Schwind, Ingo Fischer, Stephan Pachnicke, Apostolos Argyris

In this work, we show that the effectiveness of the internal fading memory depends significantly on the properties of the signal to be processed.

Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops

1 code implementation19 Nov 2020 Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk

We present a method for folding a deep neural network of arbitrary size into a single neuron with multiple time-delayed feedback loops.

Photonic Delay Systems as Machine Learning Implementations

no code implementations12 Jan 2015 Michiel Hermans, Miguel Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer

We perform physical experiments that demonstrate that the obtained input encodings work well in reality, and we show that optimized systems perform significantly better than the common Reservoir Computing approach.

BIG-bench Machine Learning

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