| Numerical demonstration of neuromorphic computing with photonic crystal cavities F Laporte, A Katumba, J Dambre, P Bienstman Optics express 26 (7), 7955-7964, 2018 | 82 | 2018 |
| Photonic neuromorphic information processing and reservoir computing A Lugnan, A Katumba, F Laporte, M Freiberger, S Sackesyn, C Ma, ... APL Photonics 5 (2), 2020 | 81 | 2020 |
| Neuromorphic computing based on silicon photonics and reservoir computing A Katumba, M Freiberger, F Laporte, A Lugnan, S Sackesyn, C Ma, ... IEEE Journal of Selected Topics in Quantum Electronics 24 (6), 1-10, 2018 | 53 | 2018 |
| Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework pytorch F Laporte, J Dambre, P Bienstman Scientific reports 9 (1), 5918, 2019 | 43 | 2019 |
| Wavelength dimension in waveguide-based photonic reservoir computing E Gooskens, F Laporte, C Ma, S Sackesyn, J Dambre, P Bienstman Optics Express 30 (9), 15634-15647, 2022 | 18 | 2022 |
| Simulating self-learning in photorefractive optical reservoir computers F Laporte, J Dambre, P Bienstman Scientific Reports 11 (1), 2701, 2021 | 14 | 2021 |
| Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout C Ma, F Laporte, J Dambre, P Bienstman Scientific Reports 11 (1), 3102, 2021 | 13 | 2021 |
| Comparing different nonlinearities in readout systems for optical neuromorphic computing networks C Ma, J Lambrecht, F Laporte, X Yin, J Dambre, P Bienstman Scientific Reports 11 (1), 24152, 2021 | 6 | 2021 |
| Novel architectures for brain-inspired photonic computers F Laporte Ghent University, 2020 | 5 | 2020 |
| Photontorch: simulation and optimization of large photonic circuits using the deep learning framework PyTorch F Laporte, J Dambre, P Bienstman 2019 IEEE Photonics Society Summer Topical Meeting Series (SUM), 1-2, 2019 | 4 | 2019 |
| Neuromorphic information processing using silicon photonics P Bienstman, J Dambre, A Katumba, M Freiberger, F Laporte, A Lugnan, ... Active Photonic Platforms XI 11081, 49-55, 2019 | 3 | 2019 |
| Computing with integrated photonic reservoirs J Dambre, A Katumba, C Ma, S Sackesyn, F Laporte, M Freiberger, ... Reservoir Computing: Theory, Physical Implementations, and Applications, 397-419, 2021 | 2 | 2021 |
| Photonic reservoir computing: a brain-inspired approach for information processing P Bienstman, J Dambre, A Katumba, M Freiberger, F Laporte, A Lugnan Optical Fiber Communication Conference, M4F. 4, 2018 | 2 | 2018 |
| Neuromorphic Computing with Signal-Mixing Cavities F Laporte, J Dambre, P Bienstman 2018 IEEE International Conference on Rebooting Computing (ICRC), 1-4, 2018 | 1 | 2018 |
| Reservoir computing with signal-mixing cavities F Laporte, J Dambre, P Bienstman 2017 19th International Conference on Transparent Optical Networks (ICTON), 1-4, 2017 | 1 | 2017 |
| Object classification system and method P Bienstman, A Lugnan, F Laporte US Patent 11,475,683, 2022 | | 2022 |
| Mixing wave-based computing P Bienstman, F Laporte, A Lugnan US Patent App. 16/617,354, 2020 | | 2020 |
| Photonic reservoir computing F Laporte, A Katumba, M Freiberger, C Ma, S Sackesyn, E Gooskens, ... Photonic Integration Week, 2020 | | 2020 |
| 3 Integrated on-chip reservoirs A Katumba, M Freiberger, F Laporte, A Lugnan, S Sackesyn, C Ma, ... Photonic Reservoir Computing: Optical Recurrent Neural Networks, 53, 2019 | | 2019 |
| Silicon photonics reservoir computing at 32 Gbit/s P Bienstman, J Dambre, A Katumba, M Freiberger, F Laporte, A Lugnan, ... 2019 Workshop on Dynamical Systems and Brain-Inspired Information Processing, 2019 | | 2019 |
