Xavier Porte

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Gallium Arsenide

Top Venues

ICANN (Workshop)

Publications

Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner
Convergence and scaling of Boolean-weight optimization for hardware reservoirs. CoRR (2023)
Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
A semiconductor laser stand-alone neural network. OECC/PSC (2022)
Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, Daniel Brunner
Photonic neuromorphic computing using vertical cavity semiconductor lasers. CoRR (2021)
Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, D. Brunner
Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. CoRR (2021)
Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. CoRR (2020)
Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
Boolean learning under noise-perturbations in hardware neural networks. CoRR (2020)
Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Reservoir-Size Dependent Learning in Analogue Neural Networks. ICANN (Workshop) (2019)
Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner
Coupled nonlinear delay systems as deep convolutional neural networks. CoRR (2019)
Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Fundamental aspects of noise in analog-hardware neural networks. CoRR (2019)
Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Reservoir-size dependent learning in analogue neural networks. CoRR (2019)
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 (2019)