| A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference M Le Gallo, R Khaddam-Aljameh, M Stanisavljevic, A Vasilopoulos, ... Nature Electronics 6 (9), 680-693, 2023 | 75 | 2023 |
| Ml-hw co-design of noise-robust tinyml models and always-on analog compute-in-memory edge accelerator C Zhou, FG Redondo, J Büchel, I Boybat, XT Comas, SR Nandakumar, ... IEEE Micro 42 (6), 76-87, 2022 | 30* | 2022 |
| Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors J Büchel, D Zendrikov, S Solinas, G Indiveri, DR Muir Nature Scientific Reports, 2021 | 27 | 2021 |
| Adversarial attacks on spiking convolutional neural networks for event-based vision J Büchel, G Lenz, Y Hu, S Sheik, M Sorbaro Frontiers in Neuroscience 16, 1068193, 2022 | 14* | 2022 |
| Gradient descent-based programming of analog in-memory computing cores J Büchel, A Vasilopoulos, B Kersting, F Odermatt, K Brew, I Ok, S Choi, ... 2022 International Electron Devices Meeting (IEDM), 33.1. 1-33.1. 4, 2022 | 12 | 2022 |
| Using the IBM analog in-memory hardware acceleration kit for neural network training and inference M Le Gallo, C Lammie, J Büchel, F Carta, O Fagbohungbe, C Mackin, ... APL Machine Learning 1 (4), 2023 | 8 | 2023 |
| Network Insensitivity to Parameter Noise via Adversarial Regularization J Büchel, F Faber, DR Muir International Conference on Learning Representations (ICLR) 2022, 2021 | 7* | 2021 |
| Ladder networks for semi-supervised hyperspectral image classification J Büchel, O Ersoy arXiv preprint arXiv:1812.01222, 2018 | 5 | 2018 |
| Exploiting the state dependency of conductance variations in memristive devices for accurate in-memory computing A Vasilopoulos, J Büchel, B Kersting, C Lammie, K Brew, S Choi, T Philip, ... IEEE Transactions on Electron Devices, 2023 | 3 | 2023 |
| Programming weights to analog in-memory computing cores by direct minimization of the matrix-vector multiplication error J Büchel, A Vasilopoulos, B Kersting, C Lammie, K Brew, T Philip, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023 | 2 | 2023 |
| Design of Analog-AI Hardware Accelerators for Transformer-based Language Models GW Burr, H Tsai, W Simon, I Boybat, S Ambrogio, CE Ho, ZW Liou, ... 2023 International Electron Devices Meeting (IEDM), 1-4, 2023 | 1 | 2023 |
| Implementing efficient balanced networks with mixed-signal spike-based learning circuits J Büchel, J Kakon, M Perez, G Indiveri 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 1 | 2021 |
| Accurate programming of analog memory devices of in-memory processing devices having a crossbar array structure M Le Gallo-Bourdeau, A Vasilopoulos, B Kersting, JR Büchel, ... US Patent App. 18/305,466, 2024 | | 2024 |
| In-memory computing for approximating kernel functions JR Büchel, A Rahimi, M Le Gallo-Bourdeau, IB Kara, A Sebastian US Patent App. 17/957,286, 2024 | | 2024 |
| Function-based activation of memory tiers JR Buechel, M Le Gallo-Bourdeau, IB Kara, A Rahimi, A Sebastian US Patent App. 17/943,256, 2024 | | 2024 |
| Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training C Lammie, A Vasilopoulos, J Büchel, G Camposampiero, ML Gallo, ... arXiv preprint arXiv:2401.09859, 2024 | | 2024 |
| In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices GS Syed, K Brew, A Vasilopoulos, VP Jonnalagadda, B Kersting, T Philip, ... 2023 International Electron Devices Meeting (IEDM), 1-4, 2023 | | 2023 |
| Programming elements onto a computational memory M Le Gallo-Bourdeau, A Sebastian, FE Odermatt, J Buechel US Patent App. 17/656,163, 2023 | | 2023 |
Abu SebastianDistinguished Scientist, IBM Research - Zurich在 zurich.ibm.com 的电子邮件经过验证
