70 citations · 135 across the 4 of their papers we have counts for
4 papers
Infinite-dimensional Folded-in-time Deep Neural Networks
Florian Stelzer, Serhiy Yanchuk
The method recently introduced in arXiv:2011.10115 realizes a deep neural network with just a single nonlinear element and delayed feedback. It is applicable for the description of…
Emulating complex networks with a single delay differential equation
Florian Stelzer, Serhiy Yanchuk
A single dynamical system with time-delayed feedback can emulate networks. This property of delay systems made them extremely useful tools for Machine Learning applications. Here w…
Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops
Florian Stelzer, André Röhm, Raul Vicente +2
Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks. We present a method for folding a deep neur…
Performance boost of time-delay reservoir computing by non-resonant clock cycle
Florian Stelzer, André Röhm, Kathy Lüdge +1
The time-delay-based reservoir computing setup has seen tremendous success in both experiment and simulation. It allows for the construction of large neuromorphic computing systems…