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07/28/2022
Learning unseen coexisting attractors
Reservoir computing is a machine learning approach that can generate a s...
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11/05/2021
Inferring untrained complex dynamics of delay systems using an adapted echo state network
Caused by finite signal propagation velocities, many complex systems fea...
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08/06/2021
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing
Reservoir computers are powerful tools for chaotic time series predictio...
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11/19/2020
Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops
Deep neural networks are among the most widely applied machine learning ...
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11/14/2017
Reinforcement Learning in a large scale photonic Recurrent Neural Network
Photonic Neural Network implementations have been gaining considerable a...
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