Piotr Antonik
Title
Cited by
Cited by
Year
Brain-Inspired Photonic Signal Processor for Generating Periodic Patterns and Emulating Chaotic Systems
P Antonik, M Haelterman, S Massar
Physical Review Applied 7 (5), 054014, 2017
512017
Human action recognition with a large-scale brain-inspired photonic computer
P Antonik, N Marsal, D Brunner, D Rontani
Nature Machine Intelligence 1 (11), 530-537, 2019
482019
Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography
P Antonik, M Gulina, J Pauwels, S Massar
Physical Review E 98 (1), 012215, 2018
482018
Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalization.
P Antonik, F Duport, M Hermans, A Smerieri, M Haelterman, S Massar
IEEE transactions on neural networks and learning systems, 2016
442016
Towards pattern generation and chaotic series prediction with photonic reservoir computers
P Antonik, M Hermans, F Duport, M Haelterman, S Massar
Real-time Measurements, Rogue Events, and Emerging Applications 9732, 97320B, 2016
282016
FPGA implementation of reservoir computing with online learning
P Antonik, A Smerieri, F Duport, M Haelterman, S Massar
24th Belgian-Dutch Conference on Machine Learning, 2015
192015
Embodiment of Learning in Electro-Optical Signal Processors
M Hermans, P Antonik, M Haelterman, S Massar
Physical Review Letters 117 (12), 128301, 2016
182016
Large-Scale Spatiotemporal Photonic Reservoir Computer for Image Classification
P Antonik, N Marsal, D Rontani
IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 1-12, 2019
172019
Online Training for High-Performance Analogue Readout Layers in Photonic Reservoir Computers
P Antonik, M Haelterman, S Massar
Cognitive Computation, 1-10, 2017
172017
Online training of an opto-electronic reservoir computer
P Antonik, F Duport, A Smerieri, M Hermans, M Haelterman, S Massar
International Conference on Neural Information Processing, 233-240, 2015
142015
Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing
P Antonik
Springer, 2018
132018
Random pattern and frequency generation using a photonic reservoir computer with output feedback
P Antonik, M Hermans, M Haelterman, S Massar
Neural Processing Letters 47 (3), 1041-1054, 2018
82018
Towards Adjustable Signal Generation with Photonic Reservoir Computers
P Antonik, M Hermans, M Haelterman, S Massar
International Conference on Artificial Neural Networks, 374-381, 2016
72016
Photonic reservoir computer with output feedback for chaotic time series prediction
P Antonik, M Hermans, M Haelterman, S Massar
2017 International Joint Conference on Neural Networks (IJCNN), 2407-2413, 2017
62017
Bayesian optimisation of large-scale photonic reservoir computers
P Antonik, N Marsal, D Brunner, D Rontani
Cognitive Computation, 1-9, 2021
42021
Pattern and Frequency Generation Using an Opto-Electronic Reservoir Computer with Output Feedback
P Antonik, M Hermans, M Haelterman, S Massar
International Conference on Neural Information Processing, 318-325, 2016
42016
Towards autonomous photonic reservoir computer based on frequency parallelism of neurons
A Akrout, P Antonik, M Haelterman, S Massar
Real-time Measurements, Rogue Phenomena, and Single-Shot Applications II …, 2017
32017
Impact of optical coherence on the performance of large-scale spatiotemporal photonic reservoir computing systems
RM Nguimdo, P Antonik, N Marsal, D Rontani
Optics Express 28 (19), 27989-28005, 2020
22020
Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer
P Antonik, N Marsal, D Brunner, D Rontani
International Conference on Artificial Neural Networks, 175-179, 2019
22019
Spying on chaos-based cryptosystems with reservoir computing
P Antonik, M Gulina, J Pauwels, D Rontani, M Haelterman, S Massar
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
22018
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Articles 1–20