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ORCIDXavier Porte
2020 – today
- 2025
[i11]Daniel Brunner, Bhavin J. Shastri, Mohammed Al-Qadasi, Hitesh Ballani, Sylvain Barbay, Stefano Biasi, Peter Bienstman, Simon Bilodeau, Wim Bogaerts, Fabian Böhm, Grace Brennan, Sonia M. Buckley, Xinlun Cai, Marcello Calvanese Strinati, Burcu Canakci, Benoît Charbonnier, Mario Chemnitz, Yitong Chen, Stanley Cheung, Jeff Chiles, Suyeon Choi, Demetrios N. Christodoulides, Lukas Chrostowski, J. Chu, James H. Clegg, Daniel Cletheroe, Claudio Conti, Qionghai Dai, Luigi Di Lauro, Nikolaos-Panteleimon Diamantopoulos, Niyazi Ulas Dinç, Jacob Ewaniuk, Shanhui Fan, Lu Fang, Riccardo Franchi, Pedro Freire, Silvia Gentilini, Sylvain Gigan, Gian Luca Giorgi, Christos Gkantsidis, Jannes Gladrow, Elena Goi, M. Goldmann, A. Grabulosa, Min Gu, Xianxin Guo, Matej Hejda, Folkert Horst, Jih-Liang Hsieh, Jianqi Hu, Juejun Hu, Chaoran Huang
, Antonio Hurtado, Lina Jaurigue, Kirill P. Kalinin, Morteza Kamalian-Kopae, D. J. Kelly, Mercedeh Khajavikhan, Heiner Kremer, Jérémie Laydevant, Joshua Lederman, Jongheon Lee, Daan Lenstra, Gordon H. Y. Li, Mo Li, Yuhang Li, Xing Lin, Zhongjin Lin, Mieszko Lis, Kathy Lüdge, Alessio Lugnan, Alessandro Lupo, A. I. Lvovsky, Egor Manuylovich, Alireza Marandi, Federico Marchesin, Serge Massar, Adam N. McCaughan, Peter L. McMahon, Miltiadis Moralis-Pegios, Roberto Morandotti, Christophe Moser, David J. Moss, Avilash Mukherjee, Mahdi Nikdast, Bert J. Offrein, Ilker Oguz, Bakhrom G. Oripov, Greg O'Shea, Aydogan Ozcan, Francesca Parmigiani, Sudeep Pasricha, Fabio Pavanello, Lorenzo Pavesi, Nicola Peserico, Lucinda Pickup, Davide Pierangeli, Nikos Pleros, Xavier Porte, Bryce A. Primavera:
Roadmap on Neuromorphic Photonics. CoRR abs/2501.07917 (2025)- 2024
- [i10]Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner:
A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity. CoRR abs/2411.19209 (2024) - 2023
- [i9]Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner:
Convergence and scaling of Boolean-weight optimization for hardware reservoirs. CoRR abs/2305.07908 (2023) - 2022
- [c2]Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner:
A semiconductor laser stand-alone neural network. OECC/PSC 2022: 1-3 - 2021
- [i8]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 abs/2112.08086 (2021) - [i7]Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner:
Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. CoRR abs/2112.08947 (2021) - 2020
- [i6]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) - [i5]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 abs/2012.11153 (2020)
2010 – 2019
- 2019
- [c1]Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Reservoir-Size Dependent Learning in Analogue Neural Networks. ICANN (Workshop) 2019: 184-192 - [i4]Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Coupled nonlinear delay systems as deep convolutional neural networks. CoRR abs/1902.05608 (2019) - [i3]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) - [i2]Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Reservoir-size dependent learning in analogue neural networks. CoRR abs/1908.08021 (2019) - [i1]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)
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