activity
20192024
most citedFundamental aspects of noise in analog-hardware neural networks

36 citations · 95 across the 7 of their papers we have counts for

collaborators

8 papers

physics.optics2024

Inter-Modal Raman Amplification in Space-division Multiplexed Systems

Mario Zitelli, Louis Andreoli, Claire Autebert +3

We theoretically analyze and experimentally demonstrate the possibility of amplifying optical signals in an unrepeatered mode-division multiplexed tranmsmission system, through int…

stat.ML2023★ 1 cited

Convergence and scaling of Boolean-weight optimization for hardware reservoirs

Louis Andreoli, Stéphane Chrétien, Xavier Porte +1

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

eess.IV2022

Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopy

Stéphane Cuenat, Louis Andréoli, Antoine N. André +4

The numerical wavefront backpropagation principle of digital holography confers unique extended focus capabilities, without mechanical displacements along z-axis. However, the dete…

physics.optics2021★ 14 cited

Optical pumping of quantum dot micropillar lasers

L. Andreoli, X. Porte, T. Heuser +5

Arrays of quantum dot micropillar lasers are an attractive technology platform for various applications in the wider field of nanophotonics. Of particular interest is the potential…

cs.NE2020★ 14 cited

Boolean learning under noise-perturbations in hardware neural networks

Louis Andreoli, Xavier Porte, Stéphane Chrétien +3

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

cs.NE2019

Reservoir-size dependent learning in analogue neural networks

Xavier Porte, Louis Andreoli, Maxime Jacquot +2

The implementation of artificial neural networks in hardware substrates is a major interdisciplinary enterprise. Well suited candidates for physical implementations must combine no…