| Eqspike: spike-driven equilibrium propagation for neuromorphic implementations E Martin, M Ernoult, J Laydevant, S Li, D Querlioz, T Petrisor, J Grollier Iscience 24 (3), 2021 | 42 | 2021 |
| Training dynamical binary neural networks with equilibrium propagation J Laydevant, M Ernoult, D Querlioz, J Grollier Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 21 | 2021 |
| Training an ising machine with equilibrium propagation J Laydevant, D Markovic, J Grollier arXiv preprint arXiv:2305.18321, 2023 | 8 | 2023 |
| Quantum-noise-limited optical neural networks operating at a few quanta per activation SY Ma, T Wang, J Laydevant, LG Wright, PL McMahon Research Square, 2023 | 5 | 2023 |
| EqSpike: spike-driven equilibrium propagation for neuromorphic implementations. iScience 24 E Martin, M Ernoult, J Laydevant, S Li, D Querlioz, T Petrisor, J Grollier | 5 | 2021 |
| The hardware is the software J Laydevant, LG Wright, T Wang, PL McMahon Neuron 112 (2), 180-183, 2024 | 2 | 2024 |
| Supervised learning in binary dynamical physical systems through energy minimization J Laydevant Université Paris-Saclay, 2022 | 1 | 2022 |
| Unsupervised End-to-End Training with a Self-Defined Bio-Inspired Target D Liu, J Laydevant, A Pontlevy, D Querlioz, J Grollier arXiv preprint arXiv:2403.12116, 2024 | | 2024 |
| The Benefits of Self-Supervised Learning for Training Physical Neural Networks J Laydevant, P McMahon, D Venturelli, PA Lott Machine Learning with New Compute Paradigms, 2023 | | 2023 |
| Quantum-noise-limited optical neural networks using few photons per neuron activation SY Ma, T Wang, J Laydevant, LG Wright, PL McMahon Frontiers in Optics, JTu7A. 1, 2023 | | 2023 |
| Artificial intelligence with radio-frequency spintronic devices N Leroux, D Markovic, D Sanz-Hernandez, E Martin, T Petrisor, ... Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 1180404, 2021 | | 2021 |
