louis Andréoli
louis Andréoli
FEMTO-ST Institute, Université de Bourgogne Franche-Comté
Verified email at femto-st.fr
Title
Cited by
Cited by
Year
Diffractive coupling for photonic networks: how big can we go?
S Maktoobi, L Froehly, L Andreoli, X Porte, M Jacquot, L Larger, ...
IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 1-8, 2019
182019
Asymmetric noise sensitivity of pulse trains in an excitable microlaser with delayed optical feedback
S Terrien, B Krauskopf, NGR Broderick, L Andréoli, F Selmi, R Braive, ...
Physical Review A 96 (4), 043863, 2017
132017
Fundamental aspects of noise in analog-hardware neural networks
N Semenova, X Porte, L Andreoli, M Jacquot, L Larger, D Brunner
Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (10), 103128, 2019
72019
Boolean learning under noise-perturbations in hardware neural networks
L Andreoli, X Porte, S Chrétien, M Jacquot, L Larger, D Brunner
Nanophotonics 9 (13), 4139-4147, 2020
32020
Reservoir-size dependent learning in analogue neural networks
X Porte, L Andreoli, M Jacquot, L Larger, D Brunner
International Conference on Artificial Neural Networks, 184-192, 2019
12019
Optical pumping of quantum dot micropillar lasers
L Andreoli, X Porte, T Heuser, J Große, B Moeglen-Paget, L Furfaro, ...
Optics Express 29 (6), 9084-9097, 2021
2021
Greedy Boolean learning in large photonic neural networks: empirical findings of convergence and scaling
D Brunner, L Andreoli, J Porte, M Jacquot, S Reitzenstein, L Larger
Active Matter and Artificial Intelligence, 2019
2019
Photonic neural networks scalable in size and learning effort
D Brunner, L Andreoli, J Porte, M Jacquot, L Larger
European Conference on Optical Communication, 2019
2019
Greedy Boolean Learning in Photonic Recurrent Neural Networks
L Andreoli, J Porte, M Jacquot, L Larger, D Brunner, J Große, T Heuser, ...
European Material Research Society annual meeting, 2019
2019
General considerations for neural networks implemented in hardware
D Brunner, L Andreoli, J Chretien, M Jacquot, L Larger
Workshop on Dynamical Systems and Brain-inspired Information Processing, 2019
2019
Reinforcement Learning in a Large Scale Photonic Network
L Andreoli, S Maktoobi, L Larger, M Jacquot, X Porte, D Brunner
Nonlinear Optics, NTh1A. 2, 2019
2019
4 Large scale spatiotemporal reservoirs
D Brunner, J Bueno, X Porte, S Maktoobi, L Andreoli
Photonic Reservoir Computing: Optical Recurrent Neural Networks, 83-116, 2019
2019
The shape of light: how to measure, control and compute complexity?
M Jacquot, D Brunner, J Porte, L Andreoli, S Maktoobi, P Sandoz, ...
18th Workshop on Information Optics, 2019
2019
Limits and Applications of Diffractive Coupling
D Brunner, S Maktoobi, L Andreoli, J Porte, M Jacquot, S Reitzenstein, ...
OSA Mathematics in Imaging, 2019
2019
Scaling laws and topology-properties of Boolean greedy learning in photonic neural networks
L Andreoli, J Porte, M Jacquot, L Larger, D Brunner
Conference on Lasers and Electro-Optics/Europe and the European Quantum …, 2019
2019
Photonics for neural networks and evolutionary boolean learning
D Brunner, L Andreoli, J Porte, S Maktoobi, M Jacquot, J Chretien, ...
Conference on Lasers and Electro-Optics/Europe and the European Quantum …, 2019
2019
Noise and Consistency of Analogue Spatio-Temporal Photonic Neural Networks
X Porte, L Andreoli, N Semenova, V Semenov, M Jacquot, L Larger, ...
2019 Conference on Lasers and Electro-Optics Europe & European Quantum …, 2019
2019
Scaling laws and topology-properties of Boolean reinforcement learning in photonic neural networks
L Andreoli, X Porte, M Jacquot, L Larger, D Brunner
European Quantum Electronics Conference, jsi_2_3, 2019
2019
Scaling and cost-function topology of evolutionary Boolean learning in hardware
D Brunner, L Andreoli, J Chretien, M Jacquot, L Larger
Bits and Brains Workshop, 2019
2019
Greedy Learning in a Large Scale Photonic Network
D Brunner, L Andreoli, S Maktoobi, M Jacquot, L Larger
Neuro-inspired Computation Course, 2019
2019
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Articles 1–20