| In‐memory vector‐matrix multiplication in monolithic complementary metal–oxide–semiconductor‐memristor integrated circuits: design choices, challenges, and perspectives A Amirsoleimani, F Alibart, V Yon, J Xu, MR Pazhouhandeh, S Ecoffey, ... Advanced Intelligent Systems 2 (11), 2000115, 2020 | 196 | 2020 |
| Miniaturizing neural networks for charge state autotuning in quantum dots S Czischek, V Yon, MA Genest, MA Roux, S Rochette, JC Lemyre, ... Machine Learning: Science and Technology 3 (1), 015001, 2021 | 23 | 2021 |
| Exploiting non-idealities of resistive switching memories for efficient machine learning V Yon, A Amirsoleimani, F Alibart, RG Melko, D Drouin, Y Beilliard Frontiers in Electronics 3, 825077, 2022 | 13 | 2022 |
| A cryogenic memristive neural decoder for fault-tolerant quantum error correction V Yon, F Marcotte, PA Mouny, GA Dagnew, B Kulchytskyy, S Rochette, ... arXiv preprint arXiv:2307.09463, 2023 | 5 | 2023 |
| & Drouin, D.(2020) A Amirsoleimani, F Alibart, V Yon, J Xu, MR Pazhouhandeh, S Ecoffey Memory Vector‐Matrix Multiplication in Monolithic Complementary Metal–Oxide …, 0 | 5 | |
| Robust quantum dots charge autotuning using neural network uncertainty V Yon, B Galaup, C Rohrbacher, J Rivard, C Godfrin, R Li, S Kubicek, ... Machine Learning: Science and Technology 5 (4), 045034, 2024 | 2 | 2024 |
| Towards a Cryogenic CMOS-Memristor Neural Decoder for Quantum Error Correction PA Mouny, M Benhouria, V Yon, P Dufour, L Huang, Y Beilliard, ... 2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024 | 1 | 2024 |
| Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars P Drolet, R Dawant, V Yon, PA Mouny, M Valdenaire, JA Zapata, P Gliech, ... arXiv preprint arXiv:2305.18495, 2023 | 1 | 2023 |
| Experimental Online Quantum Dots Charge Autotuning Using Neural Network V Yon, B Galaup, C Rohrbacher, J Rivard, A Morel, D Leclerc, C Godfrin, ... arXiv preprint arXiv:2409.20320, 2024 | | 2024 |
| Adaptive filtering and classification for automated tuning of quantum dots into the single electron regime M Moras, MA Roux, L Njejimana, S Czischek, V Yon, MA Tétrault, ... APS March Meeting Abstracts 2023, M74. 010, 2023 | | 2023 |
| Robust quantum dot charge autotuning with Bayesian Neural Networks V Yon, S Czischek, Y Beilliard, M Pioro-Ladrière, G Louis, R Melko, ... Machine Learning in Natural Sciences: from Quantum Physics to Nanoscience …, 2022 | | 2022 |
| Quantum dot charge autotuning with Bayesian Neural Networks for spin qubit applications V Yon, S Czischek, Y Beilliard, M Pioro-Ladrière, G Louis, R Melko, ... Silicon Quantum Electronic Workshop, 2022 | | 2022 |
