Jérémie Laydevant

12 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Machine vision with small numbers of detected photons per inference. CoRR Shi-Yuan Ma, Jérémie Laydevant, Mandar M. Sohoni, Logan G. Wright, Tianyu Wang, Peter L. McMahon
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`	Self-Contrastive Forward-Forward Algorithm. CoRR Xing Chen, Dongshu Liu, Jérémie Laydevant, Julie Grollier
2024	J	`jnl`	Unsupervised End-to-End Training with a Self-Defined Bio-Inspired Target. CoRR Dongshu Liu, Jérémie Laydevant, Adrien Pontlevy, Damien Querlioz, Julie Grollier
2024	J	`jnl`	Unsupervised end-to-end training with a self-defined target. Neuromorph. Comput. Eng. Dongshu Liu, Jérémie Laydevant, Adrien Pontlevy, Damien Querlioz, Julie Grollier
2023	J	`jnl`	Quantum-noise-limited optical neural networks operating at a few quanta per activation. CoRR Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon
2023	J	`jnl`	The hardware is the software. CoRR Jérémie Laydevant, Logan G. Wright, Tianyu Wang, Peter L. McMahon
2023	J	`jnl`	Training an Ising Machine with Equilibrium Propagation. CoRR Jérémie Laydevant, Danijela Markovic, Julie Grollier
2022	—	`—`	Supervised learning in binary dynamical physical systems through energy minimization. (Apprentissage supervisé dans les systèmes physiques dynamiques binaires grâce à la minimisation de l'énergie). Jérémie Laydevant
2021	—	`conf`	Training Dynamical Binary Neural Networks With Equilibrium Propagation. CVPR Workshops Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier
2021	J	`jnl`	Training Dynamical Binary Neural Networks with Equilibrium Propagation. CoRR Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier
2020	J	`jnl`	EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations. CoRR Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier