Jérémie Laydevant

According to our database, Jérémie Laydevant authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications.

Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant, Fan O. Wu, Ari Kapelyan, Davide Venturelli, Kyle Jamieson, Peter L. McMahon

CoRR, April, 2026

Ultra-low-light computer vision using trained photon correlations.

Mandar M. Sohoni, Jérémie Laydevant, Mathieu Ouellet, Shi-Yuan Ma, Ryotatsu Yanagimoto, Benjamin A. Ash, Tatsuhiro Onodera, Tianyu Wang, Logan G. Wright, Peter L. McMahon

CoRR, April, 2026

Machine vision with small numbers of detected photons per inference.

Shi-Yuan Ma, Jérémie Laydevant, Mandar M. Sohoni, Logan G. Wright, Tianyu Wang, Peter L. McMahon

CoRR, March, 2026

2025

Roadmap on Neuromorphic Photonics.

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

CoRR, January, 2025

2024

Unsupervised end-to-end training with a self-defined target.

Dongshu Liu, Jérémie Laydevant, Adrien Pontlevy, Damien Querlioz, Julie Grollier

Neuromorph. Comput. Eng., 2024

Self-Contrastive Forward-Forward Algorithm.

Xing Chen, Dongshu Liu, Jérémie Laydevant, Julie Grollier

CoRR, 2024

Unsupervised End-to-End Training with a Self-Defined Bio-Inspired Target.

Dongshu Liu, Jérémie Laydevant, Adrien Pontlevy, Damien Querlioz, Julie Grollier

CoRR, 2024

2023

Data repository of the paper "Quantum-noise-limited optical neural networks operating at a few quanta per activation".

Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon

Dataset, July, 2023

The hardware is the software.

Jérémie Laydevant, Logan G. Wright, Tianyu Wang, Peter L. McMahon

CoRR, 2023

Quantum-noise-limited optical neural networks operating at a few quanta per activation.

Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon

CoRR, 2023

Training an Ising Machine with Equilibrium Propagation.

Jérémie Laydevant, Danijela Markovic, Julie Grollier

CoRR, 2023

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

PhD thesis, 2022

2021

Training Dynamical Binary Neural Networks With Equilibrium Propagation.

Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations.

Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier

CoRR, 2020