Piotr Antonik

According to our database, Piotr Antonik authored at least 21 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Bayesian Optimisation of Large-scale Photonic Reservoir Computers.

Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

Cogn. Comput., September, 2023

High speed human action recognition using a photonic reservoir computer.

Enrico Picco, Piotr Antonik, Serge Massar

Neural Networks, August, 2023

2020

Large-scale spatiotemporal photonic reservoir computer for image classification.

Piotr Antonik, Nicolas Marsal, Damien Rontani

CoRR, 2020

2019

Human action recognition with a large-scale brain-inspired photonic computer.

Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

Nat. Mach. Intell., 2019

Time Series Processing with VCSEL-Based Reservoir Computer.

Jean Benoit Héroux, Naoki Kanazawa, Piotr Antonik

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer.

Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer.

Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

Random Pattern and Frequency Generation Using a Photonic Reservoir Computer with Output Feedback.

Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar

Neural Process. Lett., 2018

Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronisation and cryptography.

Piotr Antonik, Marvyn Gulina, Jaël Pauwels, Serge Massar

CoRR, 2018

Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation.

Piotr Antonik, Marc Haelterman, Serge Massar

CoRR, 2018

Spying on chaos-based cryptosystems with reservoir computing.

Piotr Antonik, Marvyn Gulina, Jaël Pauwels, Damien Rontani, Marc Haelterman, Serge Massar

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalization.

Piotr Antonik, François Duport, Michiel Hermans, Anteo Smerieri, Marc Haelterman, Serge Massar

IEEE Trans. Neural Networks Learn. Syst., 2017

Online Training for High-Performance Analogue Readout Layers in Photonic Reservoir Computers.

Piotr Antonik, Marc Haelterman, Serge Massar

Cogn. Comput., 2017

Photonic reservoir computer with output feedback for chaotic time series prediction.

Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online Learning.

Piotr Antonik, Marc Haelterman, Serge Massar

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback.

Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Embodiment of Learning in Electro-Optical Signal Processors.

Michiel Hermans, Piotr Antonik, Marc Haelterman, Serge Massar

CoRR, 2016

Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalisation.

Piotr Antonik, François Duport, Michiel Hermans, Anteo Smerieri, Marc Haelterman, Serge Massar

CoRR, 2016

Pattern and Frequency Generation Using an Opto-Electronic Reservoir Computer with Output Feedback.

Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Towards Adjustable Signal Generation with Photonic Reservoir Computers.

Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Online Training of an Opto-Electronic Reservoir Computer.

Piotr Antonik, François Duport, Anteo Smerieri, Michiel Hermans, Marc Haelterman, Serge Massar

Proceedings of the Neural Information Processing - 22nd International Conference, 2015