| 1 | | CITÉE PAR |
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| 2 | Low-power Ship Detection in Satellite Images Using Neuromorphic Hardware G Lenz, D McLelland arXiv preprint arXiv:2406.11319, 2024 | |
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| 3 | Neuromorphic intermediate representation: a unified instruction set for interoperable brain-inspired computing JE Pedersen, S Abreu, M Jobst, G Lenz, V Fra, FC Bauer, DR Muir, ... arXiv preprint arXiv:2311.14641, 2023 | 11 |
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| 4 | Ultra-low-power Image Classification on Neuromorphic Hardware G Lenz, G Orchard, S Sheik arXiv preprint arXiv:2309.16795, 2023 | |
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| 5 | Training spiking neural networks using lessons from deep learning JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ... Proceedings of the IEEE, 2023 | 377 |
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| 6 | Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G …, 2023 | 14 |
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| 7 | NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems J Yik, KV Berghe, D Blanken, Y Bouhadjar, M Fabre, P Hueber, D Kleyko, ... arXiv preprint arXiv:2304.04640, 2023 | |
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| 8 | Exodus: Stable and efficient training of spiking neural networks FC Bauer, G Lenz, S Haghighatshoar, S Sheik Frontiers in Neuroscience 17, 1110444, 2023 | 13 |
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| 9 | Efficient spatio-temporal feature clustering for large event-based datasets O Oubari, G Exarchakis, G Lenz, R Benosman, SH Ieng Neuromorphic Computing and Engineering 2 (4), 044004, 2022 | 1 |
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| 10 | The developing human connectome project neonatal data release AD Edwards, D Rueckert, SM Smith, S Abo Seada, A Alansary, J Almalbis, ... Frontiers in neuroscience 16, 886772, 2022 | 65 |
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| 11 | A Framework for Event-based Computer Vision on a Mobile Device G Lenz, S Picaud, SH Ieng arXiv preprint arXiv:2205.06836, 2022 | |
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| 12 | A sampling-based approach for efficient clustering in large datasets G Exarchakis, O Oubari, G Lenz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 |
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| 13 | Neuromorphic algorithms and hardware for event-based processing G Lenz Sorbonne Université, 2021 | 1 |
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| 14 | Tonic: event-based datasets and transformations G Lenz, K Chaney, SB Shrestha, O Oubari, S Picaud, G Zarrella Documentation available under https://tonic. readthedocs. io, 2021 | 28* |
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| 15 | Training spiking neural networks using lessons from deep learning. arXiv JK Eshraghian, M Ward, E Neftci, X Wang, G Lenz, G Dwivedi, ... arXiv preprint arXiv:2109.12894, 2021 | 10 |
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| 16 | Adversarial attacks on spiking convolutional networks for event-based vision J Büchel, G Lenz, Y Hu, S Sheik, M Sorbaro
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| 17 | A mixed-signal spatio-temporal signal classifier for on-sensor spike sorting G Haessig, DG Lesta, G Lenz, R Benosman, P Dudek 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 6 |
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| 18 | Event-based face detection and tracking using the dynamics of eye blinks G Lenz, SH Ieng, R Benosman Frontiers in Neuroscience 14, 587, 2020 | 51* |
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| 19 | Event-based visual gesture recognition with background suppression running on a smart-phone JM Maro, G Lenz, C Reeves, R Benosman 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 11 |
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| 20 | REGULAR PAPERS ISSUE JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ...
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| 21 | Live Demonstration: End-to-end Event-driven Sensing and Computing for Body Gesture Recognition on an Ultra Low Power Neuromorphic SoC Y Xing, Y Liu, N Kuepelioglu, F Bauer, K Wang, Y Hu, G Lenz, Y Ren, ... |
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(20min delay)