| EEG-TCNet: An accurate temporal convolutional network for embedded motor-imagery brain–machine interfaces TM Ingolfsson, M Hersche, X Wang, N Kobayashi, L Cavigelli, L Benini 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 247 | 2020 |
| Constrained few-shot class-incremental learning M Hersche, G Karunaratne, G Cherubini, L Benini, A Sebastian, A Rahimi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 163 | 2022 |
| An accurate eegnet-based motor-imagery brain–computer interface for low-power edge computing X Wang, M Hersche, B Tömekce, B Kaya, M Magno, L Benini 2020 IEEE international symposium on medical measurements and applications …, 2020 | 106 | 2020 |
| A neuro-vector-symbolic architecture for solving Raven’s progressive matrices M Hersche, M Zeqiri, L Benini, A Sebastian, A Rahimi Nature Machine Intelligence 5 (4), 363-375, 2023 | 85 | 2023 |
| Fast and accurate multiclass inference for MI-BCIs using large multiscale temporal and spectral features M Hersche, T Rellstab, PD Schiavone, L Cavigelli, L Benini, A Rahimi 2018 26th European Signal Processing Conference (EUSIPCO), 1690-1694, 2018 | 67 | 2018 |
| ECG-TCN: Wearable cardiac arrhythmia detection with a temporal convolutional network TM Ingolfsson, X Wang, M Hersche, A Burrello, L Cavigelli, L Benini 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 43 | 2021 |
| Q-EEGNet: An energy-efficient 8-bit quantized parallel EEGNet implementation for edge motor-imagery brain-machine interfaces T Schneider, X Wang, M Hersche, L Cavigelli, L Benini 2020 IEEE International Conference on Smart Computing (SMARTCOMP), 284-289, 2020 | 38 | 2020 |
| Mi-bminet: An efficient convolutional neural network for motor imagery brain–machine interfaces with eeg channel selection X Wang, M Hersche, M Magno, L Benini IEEE Sensors Journal, 2024 | 37 | 2024 |
| Integrating event-based dynamic vision sensors with sparse hyperdimensional computing: a low-power accelerator with online learning capability M Hersche, EM Rella, A Di Mauro, L Benini, A Rahimi Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020 | 25 | 2020 |
| In-memory factorization of holographic perceptual representations J Langenegger, G Karunaratne, M Hersche, L Benini, A Sebastian, ... Nature Nanotechnology 18 (5), 479-485, 2023 | 24 | 2023 |
| In-memory realization of in-situ few-shot continual learning with a dynamically evolving explicit memory G Karunaratne, M Hersche, J Langeneager, G Cherubini, M Le Gallo, ... ESSCIRC 2022-IEEE 48th European Solid State Circuits Conference (ESSCIRC …, 2022 | 20 | 2022 |
| Energy efficient in-memory hyperdimensional encoding for spatio-temporal signal processing G Karunaratne, M Le Gallo, M Hersche, G Cherubini, L Benini, ... IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1725-1729, 2021 | 20 | 2021 |
| Exploring embedding methods in binary hyperdimensional computing: A case study for motor-imagery based brain-computer interfaces M Hersche, JR Millán, L Benini, A Rahimi arXiv preprint arXiv:1812.05705, 2018 | 20 | 2018 |
| Near-channel classifier: Symbiotic communication and classification in high-dimensional space M Hersche, S Lippuner, M Korb, L Benini, A Rahimi Brain Informatics 8 (1), 16, 2021 | 15 | 2021 |
| Evolvable hyperdimensional computing: Unsupervised regeneration of associative memory to recover faulty components M Hersche, S Sangalli, L Benini, A Rahimi 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 12 | 2020 |
| Compressing subject-specific brain-computer interface models into one model by superposition in hyperdimensional space M Hersche, P Rupp, L Benini, A Rahimi 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 246-251, 2020 | 12 | 2020 |
| Binarization methods for motor-imagery brain–computer interface classification M Hersche, L Benini, A Rahimi IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (4 …, 2020 | 11 | 2020 |
| Mimonets: Multiple-input-multiple-output neural networks exploiting computation in superposition N Menet, M Hersche, G Karunaratne, L Benini, A Sebastian, A Rahimi Advances in Neural Information Processing Systems 36, 39553-39565, 2023 | 10 | 2023 |
| Mixed-precision quantization and parallel implementation of multispectral riemannian classification for brain-machine interfaces X Wang, T Schneider, M Hersche, L Cavigelli, L Benini 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 9 | 2021 |
| Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures M Hersche, F Di Stefano, T Hofmann, A Sebastian, A Rahimi arXiv preprint arXiv:2401.16024, 2024 | 7 | 2024 |
Abbas RahimiResearch Staff Member, IBM Research-ZurichVerified email at zurich.ibm.com