Search Results for author: Piotr Antonik

Found 9 papers, 0 papers with code

Random pattern and frequency generation using a photonic reservoir computer with output feedback

no code implementations19 Dec 2020 Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar

We demonstrate the first opto-electronic reservoir computer with output feedback and test it on two examples of time series generation tasks: frequency and random pattern generation.

Time Series

Online training for high-performance analogue readout layers in photonic reservoir computers

no code implementations19 Dec 2020 Piotr Antonik, Marc Haelterman, Serge Massar

We show numerically that online learning allows to circumvent the added complexity of the analogue layer and obtain the same level of performance as with a digital layer.

Bayesian optimisation of large-scale photonic reservoir computers

no code implementations6 Apr 2020 Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

We test this approach on a previously reported large-scale experimental system, compare it to the commonly used grid search, and report notable improvements in performance and the number of experimental iterations required to optimise the hyper-parameters.

Bayesian Optimisation Efficient Exploration

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

no code implementations6 Apr 2020 Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani

The recognition of human actions in video streams is a challenging task in computer vision, with cardinal applications in e. g. brain-computer interface and surveillance.

Action Recognition

Large-scale spatiotemporal photonic reservoir computer for image classification

no code implementations6 Apr 2020 Piotr Antonik, Nicolas Marsal, Damien Rontani

We propose a scalable photonic architecture for implementation of feedforward and recurrent neural networks to perform the classification of handwritten digits from the MNIST database.

Classification General Classification +1

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

no code implementations8 Feb 2018 Piotr Antonik, Marvyn Gulina, Jaël Pauwels, Serge Massar

We then show that trained reservoir computers can be used to crack chaos based cryptography and illustrate this on a chaos cryptosystem based on the Mackey-Glass system.

Embodiment of Learning in Electro-Optical Signal Processors

no code implementations20 Oct 2016 Michiel Hermans, Piotr Antonik, Marc Haelterman, Serge Massar

Delay-coupled electro-optical systems have received much attention for their dynamical properties and their potential use in signal processing.

Speech Recognition

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