Browsing by Author "Verschaffelt, Guy"

Cascading photonic reservoirs with deep neural networks increases computational performance

Combining a passive spatial photonic reservoir computer with a semiconductor laser increases its nonlinear computational capacity

Demonstrating delay-based reservoir computing using a compact photonic integrated chip

Impact of phase modulation on the performance of photonic delay-based reservoir computing with semiconductor lasers

Increasing the nonlinear computational capacity of a spatial photonic reservoir computing system

Influence of the input signal's phase modulation on the performance of optical delay-based reservoir computing using semiconductor lasers

Integrated photonic delay-lasers for reservoir computing

Semiconductor lasers with delayed optical feedback for reservoir computing: short external cavities and multi-mode lasers

Transfer learning for photonic delay-based reservoir computing to compensate parameter drift

Using photonic reservoirs as preprocessors for deep neural networks