| 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 |
| Nonvolatile ionic modification of the Dzyaloshinskii-Moriya interaction L Herrera Diez, YT Liu, DA Gilbert, M Belmeguenai, J Vogel, S Pizzini, ... Physical Review Applied 12 (3), 034005, 2019 | 93 | 2019 |
| Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations A Laborieux, F Zenke Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 61 | 2022 |
| Predictor networks and stop-grads provide implicit variance regularization in byol/simsiam MS Halvagal, A Laborieux, F Zenke Preprint at https://doi. org/10.48550/arXiv 2212, 2022 | 26* | 2022 |
| MicroMegascope L Canale, A Laborieux, AA Mogane, L Jubin, J Comtet, A Lainé, ... Nanotechnology 29 (35), 355501, 2018 | 21 | 2018 |
| Implementation of ternary weights with resistive RAM using a single sense operation per synapse A Laborieux, M Bocquet, T Hirtzlin, JO Klein, E Nowak, E Vianello, ... IEEE Transactions on Circuits and Systems I: Regular Papers 68 (1), 138-147, 2020 | 16 | 2020 |
| Improving equilibrium propagation without weight symmetry through jacobian homeostasis A Laborieux, F Zenke arXiv preprint arXiv:2309.02214, 2023 | 14 | 2023 |
| Low power in-memory implementation of ternary neural networks with resistive ram-based synapse A Laborieux, M Bocquet, T Hirtzlin, JO Klein, LH Diez, E Nowak, ... 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 13 | 2020 |
| Theories of synaptic memory consolidation and intelligent plasticity for continual learning F Zenke, A Laborieux arXiv preprint arXiv:2405.16922, 2024 | 9 | 2024 |
| Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks A Majumdar, M Bocquet, T Hirtzlin, A Laborieux, JO Klein, E Nowak, ... IEEE Transactions on Electron Devices 68 (10), 4925-4932, 2021 | 9 | 2021 |
| Memory-augmented transformers: A systematic review from neuroscience principles to enhanced model architectures P Omidi, X Huang, A Laborieux, B Nikpour, T Shi, A Eshaghi arXiv preprint arXiv:2508.10824, 2025 | 5 | 2025 |
| Achieving petaops/w edge-ai processing MD Gomony, B Ahn, R Luiken, Y Biyani, A Gebregiorgis, A Laborieux, ... Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-4, 2024 | 3 | 2024 |
| CAPC: A configurable analog pop-count circuit for near-memory binary neural networks F Jebali, A Majumdar, A Laborieux, T Hirtzlin, E Vianello, JP Walder, ... 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS …, 2021 | 3 | 2021 |
| Teaching signal synchronization in deep neural networks with prospective neurons N Zucchet, Q Feng, A Laborieux, F Zenke, W Senn, J Sacramento arXiv preprint arXiv:2511.14917, 2025 | 1 | 2025 |
| Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Technical Solutions P Omidi, X Huang, A Laborieux, B Nikpour, T Shi, A Eshaghi arXiv e-prints, arXiv: 2508.10824, 2025 | 1 | 2025 |
| An eigenspace view reveals how predictor networks and stop-grads provide implicit variance regularization MS Halvagal, A Laborieux, F Zenke NeurIPS Self-Supervised Learning Workshop, 2022 | 1 | 2022 |
| Bio-inspired continual learning and credit assignment for neuromorphic computing A Laborieux Université Paris-Saclay, 2021 | 1 | 2021 |
| Invited MD Gomony, B Ahn, R Luiken, Y Biyani, A Gebregiorgis, A Laborieux, ... | | 2024 |
| Experimental Demonstration of Memristor Delay-Based Logic In-Memory Ternary Neural Network A Renaudineau, KE Harabi, C Turck, A Laborieux, E Vianello, M Bocquet, ... 2023 Silicon Nanoelectronics Workshop (SNW), 43-44, 2023 | | 2023 |
Damien QuerliozResearch Scientist, CNRS, Université Paris-SaclayVerified email at u-psud.fr
