activity
20222026
most citedThe Impact of Feature Representation on the Accuracy of Photonic Neural Networks

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2026

Photonic reservoir computing with dimensionally compressed readout

Gerald Kobi, Mohab Abdalla, Miguel C. Soriano +1

This work addresses a hardware constraint in reservoir computing: the limited size of the readout layer imposed by systems with a physical readout. We investigate a strategy to acc…

cs.NE2026

Organization of computation in reservoir computing

Mohab Abdalla, Damien Rontani

Reservoir computing exploits nonlinear dynamical systems to encode temporal inputs into high-dimensional state space representations. Although reservoir performance is often charac…

cs.ET2024★ 3 cited

The Impact of Feature Representation on the Accuracy of Photonic Neural Networks

Mauricio Gomes de Queiroz, Paul Jimenez, Raphael Cardoso +5

Photonic Neural Networks (PNNs) are gaining significant interest in the research community due to their potential for high parallelization, low latency, and energy efficiency. PNNs…

cs.CR2024

Complexity Assessment of Analog and Digital Security Primitives Signals Using the Disentropy of Autocorrelation

Paul Jimenez, Raphael Cardoso, Maurìcio Gomes de Queiroz +4

The study of regularity in signals can be of great importance, typically in medicine to analyse electrocardiogram (ECG) or electromyography (EMG) signals, but also in climate studi…

eess.SP2022

Hitless memory-reconfigurable photonic reservoir computing architecture

Mohab Abdalla, Clément Zrounba, Raphael Cardoso +7

Reservoir computing is an analog bio-inspired computation model for efficiently processing time-dependent signals, the photonic implementations of which promise a combination of ma…