| 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 | 141 | 2022 |
| Automated Architecture Design for Deep Neural Networks S Abreu arXiv preprint arXiv:1908.10714, 2019 | 46 | 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, ... Nature Communications 15 (1), 8122, 2024 | 23 | 2024 |
| Flow cytometry with event-based vision and spiking neuromorphic hardware S Abreu, M Gouda, A Lugnan, P Bienstman IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023 | 11 | 2023 |
| Q-S5: Towards Quantized State Space Models S Abreu, JE Pedersen, KM Heckel, A Pierro International Conference on Machine Learning (ICML) Workshop, 2024 | 6 | 2024 |
| Mamba-PTQ: Outlier Channels in Recurrent Large Language Models A Pierro*, S Abreu* International Conference on Machine Learning (ICML) Workshop, 2024 | 4 | 2024 |
| EmBARDiment: an Embodied AI Agent for Productivity in XR R Bovo, S Abreu, K Ahuja, EJ Gonzalez, LT Cheng, M Gonzalez-Franco arXiv preprint arXiv:2408.08158, 2024 | 3 | 2024 |
| 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 | 3 | 2024 |
| Concepts and Paradigms for Neuromorphic Programming S Abreu arXiv preprint arXiv:2310.18260, 2023 | 2 | 2023 |
| PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos S Abreu, TD Do, K Ahuja, EJ Gonzalez, L Payne, D McDuff, ... arXiv preprint arXiv:2407.09503, 2024 | 1 | 2024 |
| Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity A Pierro, S Abreu, J Timcheck, P Stratmann, A Wild, SB Shrestha arXiv preprint arXiv:2502.01330, 2025 | | 2025 |
| Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware S Abreu, JE Pedersen IEEE International Conference on Neuromorphic Systems (ICONS), 358-365, 2024 | | 2024 |
| Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering J Postmus, S Abreu Neural Information Processing Systems (NeurIPS) Workshop, 2024 | | 2024 |
| Developing a Framework for Programming Physical Computing Systems S Abreu International Conference on Neuromorphic, Natural and Physical Computing (NNPC), 2023 | | 2023 |
| Two-shot learning of continuous interpolation using a conceptor-aided recurrent autoencoder G Pourcel, M Goldmann, S Abreu, MC Soriano | | 2023 |
| From Steering Vectors to Conceptors and Beyond: Compositional Affine Steering Mechanisms for LLMs S Abreu, J Postmus | | |
Daniel BrunnerCNRS researcher, FEMTO-ST, Optics department, BesanconEmail verificata su femto-st.fr