| Vowel recognition with four coupled spin-torque nano-oscillators M Romera, P Talatchian, S Tsunegi, F Abreu Araujo, V Cros, P Bortolotti, ... Nature 563 (7730), 230-234, 2018 | 679 | 2018 |
| Scaling equilibrium propagation to deep convnets by drastically reducing its gradient estimator bias A Laborieux, M Ernoult, B Scellier, Y Bengio, J Grollier, D Querlioz Frontiers in neuroscience 15, 633674, 2021 | 114 | 2021 |
| Synaptic metaplasticity in binarized neural networks A Laborieux, M Ernoult, T Hirtzlin, D Querlioz Nature communications 12 (1), 2549, 2021 | 113 | 2021 |
| 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 | 76 | 2021 |
| Updates of Equilibrium Prop match Gradients of Backprop Through Time in an RNN with Static Input M Ernoult, J Grollier, D Querlioz, Y Bengio, B Scellier Advances in Neural Information Processing Systems 32 (Oral), 7081-7091, 2019 | 67 | 2019 |
| Equilibrium propagation with continual weight updates M Ernoult, J Grollier, D Querlioz, Y Bengio, B Scellier arXiv preprint arXiv:2005.04168, 2020 | 57 | 2020 |
| Towards scaling difference target propagation by learning backprop targets M Ernoult, F Normandin, A Moudgil, S Spinney, E Belilovsky, I Rish, ... International Conference on Machine Learning (Spotlight), 5968-5987, 2022 | 53 | 2022 |
| Energy-based learning algorithms for analog computing: a comparative study B Scellier, M Ernoult, J Kendall, S Kumar Advances in neural information processing systems 36, 52705-52731, 2023 | 52 | 2023 |
| Binding events through the mutual synchronization of spintronic nano-neurons M Romera, P Talatchian, S Tsunegi, K Yakushiji, A Fukushima, H Kubota, ... Nature Communications 13 (1), 883, 2022 | 51 | 2022 |
| Using memristors for robust local learning of hardware restricted Boltzmann machines M Ernoult, J Grollier, D Querlioz Scientific reports 9 (1), 1851, 2019 | 37 | 2019 |
| Training dynamical binary neural networks with equilibrium propagation J Laydevant, M Ernoult, D Querlioz, J Grollier Proceedings of the IEEE/CVF CVPR (Oral), 4640-4649, 2021 | 31 | 2021 |
| One single static measurement predicts wave localization in complex structures G Lefebvre, A Gondel, M Dubois, M Atlan, F Feppon, A Labbé, C Gillot, ... Physical review letters 117 (7), 074301, 2016 | 27 | 2016 |
| Hybrid analog-digital learning with differential rram synapses T Hirtzlin, M Bocquet, M Ernoult, JO Klein, E Nowak, E Vianello, JM Portal, ... 2019 IEEE International Electron Devices Meeting (IEDM), 22.6. 1-22.6. 4, 2019 | 16 | 2019 |
| Towards training digitally-tied analog blocks via hybrid gradient computation T Nest*, M Ernoult* Advances in Neural Information Processing Systems 37 (Spotlight), 2024 | 7 | 2024 |
| Microwave neural processing and broadcasting with spintronic nano-oscillators P Talatchian, M Romera, S Tsunegi, FA Araujo, V Cros, P Bortolotti, ... 2018 IEEE International Electron Devices Meeting (IEDM), 27.4. 1-27.4. 4, 2018 | 4 | 2018 |
| Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning G Pourcel, D Basu*, M Ernoult*, A Gilra* arXiv preprint arXiv:2506.06248, 2025 | 2 | 2025 |
| Learning long range dependencies through time reversal symmetry breaking G Pourcel, M Ernoult Advances in Neural Information Processing Systems 37 (Oral), 2025 | 2 | 2025 |
| A cookbook for hardware-friendly implicit learning on static data M Ernoult, R Høier, J Kendall NeurIPS 2024 Workshop Machine Learning with new Compute Paradigms, 2024 | 2 | 2024 |
| Rethinking biologically inspired learning algorithms towards better credit assignment for on-chip learning M Ernoult Sorbonne Université, 2020 | 2 | 2020 |
| Bioinspired computing leveraging the physics of magnetic nano-oscillators D Querlioz, M Romera, P Talatchian, A Mizrahi, D Vodenicarevic, ... Bulletin of the American Physical Society 64, 2019 | 1 | 2019 |
Damien QuerliozResearch Scientist, CNRS, Université Paris-SaclayVerified email at u-psud.fr
