Publications

All-Optical, Reconfigurable and Power Independent Neural Activation Function by Means of Phase Modulation

G. Sarantoglou, A. Bogris, and C. Mesaritakis

https://arxiv.org/abs/2402.03778

Machine learning meets photonics

F. Da Ros, M. Yankov, and D. Zibar

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12655/126550C/Machine-learning-meets-photonics/10.1117/12.2676656.short#_=_

Multimode Fabry-Perot laser as a reservoir computing and extreme learning machine photonic accelerator

M. Skontranis, G. Sarantoglou, K. Sozos, T. Kamalakis, C. Mesaritakis, and A. Bogris

https://iopscience.iop.org/article/10.1088/2634-4386/ad025b/meta

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

Download the paper here

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