4 papers
Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems
Stavros Deligiannidis, Charis Mesaritakis, Adonis Bogris
We investigate the complexity and performance of recurrent neural network (RNN) models as post-processing units for the compensation of fibre nonlinearities in digital coherent sys…
Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network
Menelaos Skontranis, George Sarantoglou, Stavros Deligiannidis +2
We present results of a deep photonic spiking convolutional neural network, based on two-section VCSELs, targeting image classification. Training is based on unsupervised spike-tim…
Fabry-Perot Lasers as Enablers for Parallel Reservoir Computing
Adonis Bogris, Charis Mesaritakis, Stavros Deligiannidis +1
We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities. With the use of optical injection between a mast…
Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis +1
We introduce for the first time the utilization of Long short-term memory (LSTM) neural network architectures for the compensation of fiber nonlinearities in digital coherent syste…