Route to chaos in an opto-electronic system. - Laurent Larger; Daniele Fournier-Prunaret (ECCTD, 2005)

Chaotic optical phase generated by electro-optic and optoelectronic nonlinear and nonlocal delayed feedback: Successful field experiment at 10 Gb/s. - Laurent Larger; Roman Lavrov; Maxime Jacquot (CSNDSP, 2010)

Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality. - Lyudmila Grigoryeva; Julie Henriques; Laurent Larger; Juan-Pablo Ortega (Neural Networks, 2014)

Noise and Chaos Contributions in Fast Random Bit Sequence Generated From Broadband Optoelectronic Entropy Sources. - Xiaole Fang; Benjamin Wetzel; Jean-Marc Merolla; John M. Dudley; Laurent Larger; Christophe Guyeux; Jacques M. Bahi (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

Time-Delay Reservoir Computers and High-Speed Information Processing Capacity. - Lyudmila Grigoryeva; Julie Henriques; Laurent Larger; Juan-Pablo Ortega (CSE/EUC/DCABES, 2016)

FPGA Design for Pseudorandom Number Generator Based on Chaotic Iteration used in Information Hiding Application. - Jacques M. Bahi; Xiaole Fang; Christophe Guyeux; Laurent Larger (CoRR, 2016)

Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. - Lyudmila Grigoryeva; Julie Henriques; Laurent Larger; Juan-Pablo Ortega (Neural Comput., 2016)

Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction. - Bicky A. Marquez; Jose Suarez-Vargas; Laurent Larger; Maxime Jacquot; Yanne K. Chembo; Daniel Brunner (ICRC, 2017)

Reinforcement Learning in a large scale photonic Recurrent Neural Network. - Julian Bueno; Sheler Maktoobi; Luc Froehly; Ingo Fischer; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2017)

Multi-Reservoir Echo State Network for Proton Exchange Membrane Fuel Cell Remaining Useful Life prediction. - Rania Mezzi; Simon Morando; Nadia Yousfi Steiner; Marie-Cécile Péra; Daniel Hissel; Laurent Larger (IECON, 2018)

Efficient Design of Hardware-Enabled Recurrent Neural Networks. - Bogdan Penkovsky; Laurent Larger; Daniel Brunner (CoRR, 2018)

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

Coupled nonlinear delay systems as deep convolutional neural networks. - Bogdan Penkovsky; Xavier Porte; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2019)

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

Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. - Johnny Moughames; Xavier Porte; Michael Thiel; Gwenn Ulliac; Maxime Jacquot; Laurent Larger; Muamer Kadic; 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)

The general aspects of noise in analogue hardware deep neural networks. - Nadezhda Semenova; Laurent Larger; Daniel Brunner (CoRR, 2021)

Nonlinear photonic dynamical systems for unconventional computing. - Daniel Brunner; Laurent Larger; Miguel C. Soriano (CoRR, 2021)

Tutorial: Photonic Neural Networks in Delay Systems. - Daniel Brunner; Bogdan Penkovsky; Bicky A. Marquez; M. Jaquot; Ingo Fischer; Laurent Larger (CoRR, 2021)

Understanding and mitigating noise in trained deep neural networks. - Nadezhda Semenova; Laurent Larger; Daniel Brunner (Neural Networks, 2022)