| Hands-on reservoir computing: a tutorial for practical implementation M Cucchi, S Abreu, G Ciccone, D Brunner, H Kleemann Neuromorphic Computing and Engineering 2 (3), 032002, 2022 | 77 | 2022 |
| Automated Architecture Design for Deep Neural Networks S Abreu arXiv preprint arXiv:1908.10714, 2019 | 42 | 2019 |
| 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 | 9 | 2023 |
| Flow cytometry with event-based vision and spiking neuromorphic hardware S Abreu, M Gouda, A Lugnan, P Bienstman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Training a spiking neural network on an event-based label-free flow cytometry dataset M Gouda, S Abreu, A Lugnan, P Bienstman arXiv preprint arXiv:2303.10632, 2023 | 1 | 2023 |
| A photonics perspective on computing with physical substrates S Abreu, I Boikov, M Goldmann, T Jonuzi, A Lupo, S Masaad, L Nguyen, ... Reviews in Physics, 100093, 2024 | | 2024 |
| Surrogate gradient learning in spiking networks trained on event-based cytometry dataset M Gouda, S Abreu, P Bienstman Optics Express 32 (9), 16260-16272, 2024 | | 2024 |
| Concepts and Paradigms for Neuromorphic Programming S Abreu arXiv preprint arXiv:2310.18260, 2023 | | 2023 |
| Two-shot learning of continuous interpolation using a conceptor-aided recurrent autoencoder G Pourcel, M Goldmann, S Abreu, MC Soriano | | 2023 |
Daniel BrunnerCNRS researcher, FEMTO-ST, Optics department, Besancon在 femto-st.fr 的电子邮件经过验证
