Laurent Larger

22 papers C 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Understanding and mitigating noise in trained deep neural networks. Neural Networks Nadezhda Semenova, Laurent Larger, Daniel Brunner
2021	J	`jnl`	Nonlinear photonic dynamical systems for unconventional computing. CoRR Daniel Brunner, Laurent Larger, Miguel C. Soriano
2021	J	`jnl`	The general aspects of noise in analogue hardware deep neural networks. CoRR Nadezhda Semenova, Laurent Larger, Daniel Brunner
2021	J	`jnl`	Tutorial: Photonic Neural Networks in Delay Systems. CoRR Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, Ingo Fischer, Laurent Larger
2020	J	`jnl`	Boolean learning under noise-perturbations in hardware neural networks. CoRR Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	J	`jnl`	Coupled nonlinear delay systems as deep convolutional neural networks. CoRR Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	J	`jnl`	Fundamental aspects of noise in analog-hardware neural networks. CoRR Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	—	`conf`	Reservoir-Size Dependent Learning in Analogue Neural Networks. ICANN (Workshop) Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	J	`jnl`	Reservoir-size dependent learning in analogue neural networks. CoRR Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
2019	J	`jnl`	Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. CoRR Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner
2018	J	`jnl`	Efficient Design of Hardware-Enabled Recurrent Neural Networks. CoRR Bogdan Penkovsky, Laurent Larger, Daniel Brunner
2018	C	`conf`	Multi-Reservoir Echo State Network for Proton Exchange Membrane Fuel Cell Remaining Useful Life prediction. IECON Rania Mezzi, Simon Morando, Nadia Yousfi Steiner, Marie-Cécile Péra, Daniel Hissel, Laurent Larger
2017	—	`conf`	Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction. ICRC Bicky A. Marquez, Jose Suarez-Vargas, Laurent Larger, Maxime Jacquot, Yanne K. Chembo, Daniel Brunner
2017	J	`jnl`	Reinforcement Learning in a large scale photonic Recurrent Neural Network. CoRR Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner
2016	J	`jnl`	FPGA Design for Pseudorandom Number Generator Based on Chaotic Iteration used in Information Hiding Application. CoRR Jacques M. Bahi, Xiaole Fang, Christophe Guyeux, Laurent Larger
2016	J	`jnl`	Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. Neural Comput. Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2016	—	`conf`	Time-Delay Reservoir Computers and High-Speed Information Processing Capacity. CSE/EUC/DCABES Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2015	J	`jnl`	Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals. CoRR Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2014	J	`jnl`	Noise and Chaos Contributions in Fast Random Bit Sequence Generated From Broadband Optoelectronic Entropy Sources. IEEE Trans. Circuits Syst. I Regul. Pap. Xiaole Fang, Benjamin Wetzel, Jean-Marc Merolla, John M. Dudley, Laurent Larger, Christophe Guyeux, Jacques M. Bahi
2014	J	`jnl`	Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality. Neural Networks Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
2010	—	`conf`	Chaotic optical phase generated by electro-optic and optoelectronic nonlinear and nonlocal delayed feedback: Successful field experiment at 10 Gb/s. CSNDSP Laurent Larger, Roman Lavrov, Maxime Jacquot
2005	—	`conf`	Route to chaos in an opto-electronic system. ECCTD Laurent Larger, Daniele Fournier-Prunaret