Training a spiking neural network on an event-based label-free flow cytometry dataset S. Abreu, M. Gouda, A. Lugnan, and P. Bienstman http://arxiv.org/abs/2303.10632
A Quantum Optical Recurrent Neural Network for Online Processing of Quantum Times Series R. De Prins, G. Van der Sande, and P. Bienstman https://arxiv.org/abs/2306.00134
Flow cytometry with event-based vision and spiking neuromorphic hardware S. Abreu, M. Gouda, A. Lugnan, and P. Bienstman https://ieeexplore.ieee.org/document/10208946
Neuromorphic computing by means of recurrent spectrum slicing for next generation high baud rate transmission systems, A. Bogris, K. Sozos, G. Sarantoglou, S. Deligiannidis, and C. Mesaritakis https://ieeexplore.ieee.org/abstract/document/10224454
Thermal Crosstalk Modeling and Compensation for Programmable Photonic Processors, A. Cem, D. Sanchez-Jacome, D. Pérez-López, and F. Da Ros https://www.techrxiv.org/articles/preprint/Thermal_Crosstalk_Modeling_and_Compensation_for_Programmable_Photonic_Processors/23721036
Unconventional Integrated Photonic Accelerators for High-Throughput Convolutional Neural Networks, A. Tsirigotis, G. Sarantoglou, M. Skontranis, S. Deligiannidis, K. Sozos, G. Tsilikas, D. Dermanis, A. Bogris , and C. Mesaritakis https://doi.org/10.34133/icomputing.0032