Reservoir-Size Dependent Learning in Analogue Neural Networks. - Xavier Porte; Louis Andreoli; Maxime Jacquot; Laurent Larger; Daniel Brunner (ICANN (Workshop), 2019)

Fundamental aspects of noise in analog-hardware neural networks. - Nadezhda Semenova; Xavier Porte; Louis Andreoli; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2019)

Boolean learning under noise-perturbations in hardware neural networks. - Louis Andreoli; Xavier Porte; Stéphane Chrétien; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2020)

Spatial recurrent neural networks : from electro-optical towards all-optical. (Réseaux de neurones spatiaux récurrents : de l'électro-optique au tout-optique). - Louis Andreoli (2021)

Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopy. - Stéphane Cuenat; Louis Andréoli; Antoine N. André; Patrick Sandoz; Guillaume J. Laurent; Raphaël Couturier; Maxime Jacquot (CoRR, 2022)

Convergence and scaling of Boolean-weight optimization for hardware reservoirs. - Louis Andreoli; Stéphane Chrétien; Xavier Porte; Daniel Brunner (CoRR, 2023)