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2020 – today
- 2022
[j4]Nadezhda Semenova
, Laurent Larger, Daniel Brunner:
Understanding and mitigating noise in trained deep neural networks. Neural Networks 146: 151-160 (2022)- 2021
- [i12]Nadezhda Semenova, Laurent Larger, Daniel Brunner:
The general aspects of noise in analogue hardware deep neural networks. CoRR abs/2103.07413 (2021) - [i11]Daniel Brunner, Laurent Larger, Miguel C. Soriano:
Nonlinear photonic dynamical systems for unconventional computing. CoRR abs/2107.08874 (2021) - [i10]Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, I. Fischer, Laurent Larger:
Tutorial: Photonic Neural Networks in Delay Systems. CoRR abs/2111.03332 (2021) - 2020
- [i9]Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Boolean learning under noise-perturbations in hardware neural networks. CoRR abs/2003.12319 (2020)
2010 – 2019
- 2019
- [c6]Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Reservoir-Size Dependent Learning in Analogue Neural Networks. ICANN (Workshop) 2019: 184-192 - [i8]Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Coupled nonlinear delay systems as deep convolutional neural networks. CoRR abs/1902.05608 (2019) - [i7]Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Fundamental aspects of noise in analog-hardware neural networks. CoRR abs/1907.09002 (2019) - [i6]Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Reservoir-size dependent learning in analogue neural networks. CoRR abs/1908.08021 (2019) - [i5]Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner:
Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. CoRR abs/1912.08203 (2019) - 2018
- [c5]Rania Mezzi, Simon Morando, Nadia Yousfi Steiner, Marie-Cécile Péra, Daniel Hissel, Laurent Larger:
Multi-Reservoir Echo State Network for Proton Exchange Membrane Fuel Cell Remaining Useful Life prediction. IECON 2018: 1872-1877 - [i4]Bogdan Penkovsky, Laurent Larger, Daniel Brunner:
Efficient Design of Hardware-Enabled Recurrent Neural Networks. CoRR abs/1805.03033 (2018) - 2017
- [c4]Bicky A. Marquez, Jose Suarez-Vargas, Laurent Larger, Maxime Jacquot, Yanne K. Chembo, Daniel Brunner:
Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction. ICRC 2017: 1-4 - [i3]Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Reinforcement Learning in a large scale photonic Recurrent Neural Network. CoRR abs/1711.05133 (2017) - 2016
- [j3]Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega:
Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. Neural Comput. 28(7): 1411-1451 (2016) - [c3]Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega:
Time-Delay Reservoir Computers and High-Speed Information Processing Capacity. CSE/EUC/DCABES 2016: 492-495 - [i2]Jacques M. Bahi, Xiaole Fang, Christophe Guyeux, Laurent Larger:
FPGA Design for Pseudorandom Number Generator Based on Chaotic Iteration used in Information Hiding Application. CoRR abs/1608.05930 (2016) - 2015
- [i1]Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega:
Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals. CoRR abs/1510.03891 (2015) - 2014
- [j2]Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega:
Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality. Neural Networks 55: 59-71 (2014) - [j1]Xiaole Fang, Benjamin Wetzel, Jean-Marc Merolla, John M. Dudley, Laurent Larger, Christophe Guyeux, Jacques M. Bahi:
Noise and Chaos Contributions in Fast Random Bit Sequence Generated From Broadband Optoelectronic Entropy Sources. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(3): 888-901 (2014) - 2010
- [c2]Laurent Larger, Roman Lavrov, Maxime Jacquot:
Chaotic optical phase generated by electro-optic and optoelectronic nonlinear and nonlocal delayed feedback: Successful field experiment at 10 Gb/s. CSNDSP 2010: 208-211
2000 – 2009
- 2005
- [c1]Laurent Larger, Daniele Fournier-Prunaret:
Route to chaos in an opto-electronic system. ECCTD 2005: 161-164
Coauthor Index
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