Browsing by author "Laporte, Floris"
Now showing items 1-20 of 20
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Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout
Ma, Chonghuai; Laporte, Floris; Dambre, Joni; Bienstman, Peter (2021) -
Comparing different nonlinearities in readout systems for optical neuromorphic computing networks
Ma, Chonghuai; Lambrecht, Joris; Laporte, Floris; Yin, Xin; Dambre, Joni; Bienstman, Peter (2021) -
Header recognition with signal-mixing cavities
Laporte, Floris; Dambre, Joni; Bienstman, Peter (2017) -
Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch
Laporte, Floris; Dambre, Joni; Bienstman, Peter (2019-04) -
Integrated-photonics implementation of reservoir computing neural networks
Katumba, Andrew; Laporte, Floris; Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2017-09) -
Neuromorphic computing based on silicon photonics and reservoir computing
Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai; Dambre, Joni; Bienstman, Peter (2018-11) -
Neuromorphic information processing using silicon photonics
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai (2019) -
Non-linear signal equalisation using silicon photonic reservoir computing
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai; Gooskens, Emmanuel (2019) -
Novel photonic reservoir computing architectures
Laporte, Floris; Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2017-10) -
Numerical demonstration of neuromorphic computing with photonic crystal cavities
Laporte, Floris; Katumba, Andrew; Dambre, Joni; Bienstman, Peter (2018-04) -
Photonic neuromorphic information processing and reservoir computing
Lugnan, Alessio; Katumba, Andrew; Laporte, Floris; Freiberger, Matthias; Sackesyn, Stijn; Ma, Chonghuai; Gooskens, Emmanuel; Dambre, Joni; Bienstman, Peter (2020-02) -
Photonic Reservoir Computing
Laporte, Floris; Katumba, Andrew; Freiberger, Matthias; Ma, Chonghuai; Sackesyn, Stijn; Gooskens, Emmanuel; Lugnan, Alessio; Dambre, Joni; Bienstman, Peter (2020) -
Photonic reservoir computing: a brain-inspired approach for information processing
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio (2018) -
Photontorch: simulation and optimization of large photonic circuits using the deep learning framework PyTorch
Laporte, Floris; Dambre, Joni; Bienstman, Peter (2019) -
Photorefractive crystals as brain-inspired photonic reservoir computing systems
Laporte, Floris; Dambre, Joni; Bienstman, Peter (2016) -
Reservoir computing with signal-mixing cavities
Laporte, Floris; Dambre, Joni; Bienstman, Peter (2017-10) -
Silicon photonics for neuromorphic information processing
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio (2018) -
Silicon photonics reservoir computing at 32 Gbit/s
Bienstman, Peter; Dambre, Joni; Katumba, Andrew; Freiberger, Matthias; Laporte, Floris; Lugnan, Alessio; Sackesyn, Stijn; Ma, Chonghuai; Gooskens, Emmanuel (2019) -
Simulating self-learning in photorefractive optical reservoir computers
Laporte, Floris; Dambre, Joni; Bienstman, Peter (2021) -
Wavelength dimension in waveguide-based photonic reservoir computing
Gooskens, Emmanuel; Laporte, Floris; Ma, Chonghuai; Sackesyn, Stijn; Dambre, Joni; Bienstman, Peter (2022)