EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations. - Erwann Martin; Maxence Ernoult; Jérémie Laydevant; Shuai Li; Damien Querlioz; Teodora Petrisor; Julie Grollier (CoRR, 2020)

Training Dynamical Binary Neural Networks With Equilibrium Propagation. - Jérémie Laydevant; Maxence Ernoult; Damien Querlioz; Julie Grollier (CVPR Workshops, 2021)

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 (2022)

Training an Ising Machine with Equilibrium Propagation. - Jérémie Laydevant; Danijela Markovic; Julie Grollier (CoRR, 2023)

Quantum-noise-limited optical neural networks operating at a few quanta per activation. - Shi-Yuan Ma; Tianyu Wang 013; Jérémie Laydevant; Logan G. Wright; Peter L. McMahon (CoRR, 2023)

The hardware is the software. - Jérémie Laydevant; Logan G. Wright; Tianyu Wang 013; Peter L. McMahon (CoRR, 2023)

Data repository of the paper "Quantum-noise-limited optical neural networks operating at a few quanta per activation". - Shi-Yuan Ma; Tianyu Wang 013; Jérémie Laydevant; Logan G. Wright; Peter L. McMahon (Zenodo, 2023)

Unsupervised End-to-End Training with a Self-Defined Bio-Inspired Target. - Dongshu Liu; Jérémie Laydevant; Adrien Pontlevy; Damien Querlioz; Julie Grollier (CoRR, 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 target. - Dongshu Liu; Jérémie Laydevant; Adrien Pontlevy; Damien Querlioz; Julie Grollier (Neuromorph. Comput. Eng., 2024)

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; et al. (CoRR, 2025)