Search Results for author: Xavier Porte

Found 6 papers, 0 papers with code

Convergence and scaling of Boolean-weight optimization for hardware reservoirs

no code implementations13 May 2023 Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner

Hardware implementation of neural network are an essential step to implement next generation efficient and powerful artificial intelligence solutions.

Boolean learning under noise-perturbations in hardware neural networks

no code implementations27 Mar 2020 Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner

A high efficiency hardware integration of neural networks benefits from realizing nonlinearity, network connectivity and learning fully in a physical substrate.

Reservoir-size dependent learning in analogue neural networks

no code implementations23 Jul 2019 Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner

However, important questions regarding impact of reservoir size and learning routines on the convergence-speed during learning remain unaddressed.

Fundamental aspects of noise in analog-hardware neural networks

no code implementations21 Jul 2019 Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner

The system under study consists of noisy linear nodes, and we investigate the signal-to-noise ratio at the network's outputs which is the upper limit to such a system's computing accuracy.

Management

Cannot find the paper you are looking for? You can Submit a new open access paper.