46 citations · 161 across the 21 of their papers we have counts for
6 papers · 1 filter
Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems
Luci Fumagalli, Kathy Lüdge, Jana de Wiljes +2
In climate systems, physiological models, optics, and many more, surrogate models are developed to reconstruct chaotic dynamical systems. We introduce four data-driven measures usi…
Utilizing rate-independent hysteresis for analog computing
Lina Jaurigue, Kathy Lüdge
Physical systems exhibiting hysteresis are increasingly being used in neuromorphic and in-memory computing research. Generally, the resistance switching of devices with rate-indepe…
High-Speed Time Series Prediction with a GHz-rate Photonic Spiking Neural Network built with a single VCSEL
Dafydd Owen-Newns, Lina Jaurigue, Josh Robertson +4
Photonic technologies hold significant potential for creating innovative, high-speed, efficient and hardware-friendly neuromorphic computing platforms. Neuromorphic photonic method…
Time-multiplexed Reservoir Computing with Quantum-Dot Lasers: Does more complexity lead to better performance?
Huifang Dong, Lina Jaurigue, Kathy Lüdge
Reservoir computing with optical devices offers an energy-efficient approach for time-series forecasting. Quantum dot lasers with feedback are modelled in this paper to explore the…
Reducing hyperparameter dependence by external timescale tailoring
Lina C. Jaurigue, Kathy Lüdge
Task specific hyperparameter tuning in reservoir computing is an open issue, and is of particular relevance for hardware implemented reservoirs. We investigate the influence of dir…
The role of delay-times in delay-based Photonic Reservoir Computing
Tobias Hülser, Felix Köster, Lina Jaurigue +1
Delay-based reservoir computing has gained a lot of attention due to the relative simplicity with which this concept can be implemented in hardware. However,there is still an misco…