| High-density 3D monolithically integrated multiple 1T1R multi-level-cell for neural networks E Esmanhotto, L Brunet, N Castellani, D Bonnet, T Dalgaty, L Grenouillet, ... 2020 IEEE International Electron Devices Meeting (IEDM), 36.5. 1-36.5. 4, 2020 | 50 | 2020 |
| Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks D Bonnet, T Hirtzlin, A Majumdar, T Dalgaty, E Esmanhotto, V Meli, ... Nature Communications 14 (1), 7530, 2023 | 19 | 2023 |
| Experimental demonstration of multilevel resistive random access memory programming for up to two months stable neural networks inference accuracy E Esmanhotto, T Hirtzlin, D Bonnet, N Castellani, JM Portal, D Querlioz, ... Advanced Intelligent Systems 4 (11), 2200145, 2022 | 16 | 2022 |
| Bayesian In-Memory Computing with Resistive Memories C Turck, D Bonnet, KE Harabi, T Dalgaty, T Ballet, T Hirtzlin, A Pontlevy, ... 2023 International Electron Devices Meeting (IEDM), 1-4, 2023 | 1 | 2023 |
| Synaptic uncertainty for in-memory computing D Bonnet Université Paris-Saclay, 2024 | | 2024 |
| Bayesian Metaplasticity from Synaptic Uncertainty D Bonnet, T Hirtzlin, T Januel, T Dalgaty, D Querlioz, E Vianello arXiv preprint arXiv:2312.10153, 2023 | | 2023 |
| Memory cell, electronic circuit comprising such cells, related programming method and multiplication and accumulation method D Bonnet, T Hirtzlin, E Vianello, E Esmanhotto, J Portal US Patent App. 18/315,117, 2023 | | 2023 |
| Bayesian neural network with resistive memory hardware accelerator and method for programming the same D Bonnet, T Dalgaty, T Hirtzlin, E Vianello US Patent App. 18/067,088, 2023 | | 2023 |
| Ex-situ transfer of deterministic and bayesian neural networks to resistive memory inference hardware DE Bonnet Politecnico di Torino, 2020 | | 2020 |
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