128 citations · 197 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
Data-Driven Acceleration of Multi-Physics Simulations
Stefan Meinecke, Malte Selig, Felix Köster +2
Multi-physics simulations play a crucial role in understanding complex systems. However, their computational demands are often prohibitive due to high dimensionality and complex in…
Data-Driven Forecasting of Non-Equilibrium Solid-State Dynamics
Stefan Meinecke, Felix Köster, Dominik Christiansen +3
We present a data-driven approach to efficiently approximate nonlinear transient dynamics in solid-state systems. Our proposed machine-learning model combines a dimensionality redu…
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…