Xavier Porte - RankMe

17 papers Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Single Pixel Image Classification using an Ultrafast Digital Light Projector. CoRR Aisha Kanwal, Graeme E. Johnstone, Fahimeh Dehkhoda, Johannes Herrnsdorf, Robert K. Henderson, Martin D. Dawson, Xavier Porte, Michael J. Strain
2025	J	`jnl`	A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity. Neuromorph. Comput. Eng. Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner
2025	J	`jnl`	On-chip wave chaos for photonic extreme learning. CoRR Matthew R. Wilson, Jack A. Smith, Michael J. Strain, Xavier Porte
2025	J	`jnl`	Roadmap on Neuromorphic Photonics. CoRR 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, Jiaqi 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 J. 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, Douglas 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
2024	J	`jnl`	A spiking photonic neural network of 40.000 neurons, trained with rank-order coding for leveraging sparsity. CoRR Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner
2024	J	`jnl`	Identifying Ordinal Similarities at Different Temporal Scales. Entropy Luciano Zunino, Xavier Porte, Miguel C. Soriano
2023	J	`jnl`	Convergence and scaling of Boolean-weight optimization for hardware reservoirs. CoRR Louis Andreoli, Stéphane Chrétien, Xavier Porte, Daniel Brunner
2022	—	`conf`	A semiconductor laser stand-alone neural network. OECC/PSC Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
2021	J	`jnl`	Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. CoRR Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
2021	J	`jnl`	Photonic neuromorphic computing using vertical cavity semiconductor lasers. CoRR Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, Daniel Brunner
2020	J	`jnl`	A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. CoRR Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
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