Xavier Porte

According to our database, Xavier Porte authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Convergence and scaling of Boolean-weight optimization for hardware reservoirs.

Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner

CoRR, 2023

2022

A semiconductor laser stand-alone neural network.

Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

2021

Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing.

Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner

CoRR, 2021

Photonic neuromorphic computing using vertical cavity semiconductor lasers.

Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, Daniel Brunner

CoRR, 2021

2020

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser.

Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner

CoRR, 2020

Boolean learning under noise-perturbations in hardware neural networks.

Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2020

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

Fundamental aspects of noise in analog-hardware neural networks.

Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2019

Coupled nonlinear delay systems as deep convolutional neural networks.

Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2019

Reservoir-Size Dependent Learning in Analogue Neural Networks.

Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019