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A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing.

, , , and . Cogn. Comput., 9 (3): 307-314 (2017)

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Optoelectronic Systems Trained With Backpropagation Through Time., , and . IEEE Trans. Neural Networks Learn. Syst., 26 (7): 1545-1550 (2015)Training Passive Photonic Reservoirs With Integrated Optical Readout., , , and . IEEE Trans. Neural Networks Learn. Syst., 30 (7): 1943-1953 (2019)High performance photonic reservoir computer based on a coherently driven passive cavity., , , , , , and . CoRR, (2015)Neural network for blood cell classification in a holographic microscopy system., , , , , and . ICTON, page 1-4. IEEE, (2015)Computing with Integrated Photonic Reservoirs., , , , , , and . Reservoir Computing, Springer, (2021)A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing., , , and . Cogn. Comput., 9 (3): 307-314 (2017)Trainable and Dynamic Computing: Error Backpropagation through Physical Media., , , and . CoRR, (2014)Neuromorphic Computing with Signal-Mixing Cavities., , and . ICRC, page 1-4. IEEE, (2018)Training a spiking neural network on an event-based label-free flow cytometry dataset., , , and . CoRR, (2023)Python Bindings for the Open Source Electromagnetic Simulator Meep., , , , , , and . Comput. Sci. Eng., 13 (3): 53-65 (2011)