| Sne: an energy-proportional digital accelerator for sparse event-based convolutions A Di Mauro, AS Prasad, Z Huang, M Spallanzani, F Conti, L Benini 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 825-830, 2022 | 17 | 2022 |
| Additive noise annealing and approximation properties of quantized neural networks M Spallanzani, L Cavigelli, GP Leonardi, M Bertogna, L Benini arXiv preprint arXiv:1905.10452, 2019 | 16 | 2019 |
| Zippypoint: Fast interest point detection, description, and matching through mixed precision discretization M Kanakis, S Maurer, M Spallanzani, A Chhatkuli, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| QuantLab: a Modular Framework for Training and Deploying Mixed-Precision NNs M Spallanzani, G Rutishauser, M Scherer, A Burrello, F Conti, L Benini March, 2022 | 6 | 2022 |
| Emergent behaviour in a system of industrial plants detected via manifold learning G Mihaylov, M Spallanzani International Journal of Prognostics and Health Management 7 (4), 2016 | 4 | 2016 |
| Reducing neural architecture search spaces with training-free statistics and computational graph clustering TM Ingolfsson, M Vero, X Wang, L Lamberti, L Benini, M Spallanzani Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 3 | 2022 |
| Training quantised neural networks with ste variants: the additive noise annealing algorithm M Spallanzani, GP Leonardi, L Benini Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
| Analytical aspects of non-differentiable neural networks GP Leonardi, M Spallanzani arXiv preprint arXiv:2011.01858, 2020 | 1 | 2020 |
| A fingerprint of a heterogeneous data set M Spallanzani, G Mihaylov, M Prato, R Fontana Advances in Data Analysis and Classification 16 (3), 617-657, 2022 | | 2022 |
| Deep learning-assisted analysis of automobiles handling performances D Sapienza, D Paganelli, M Prato, M Bertogna, M Spallanzani Communications in Applied and Industrial Mathematics 13 (1), 78-95, 2022 | | 2022 |
| Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021) F Hannig, P Meloni, M Spallanzani, M Ziegler arXiv preprint arXiv:2102.00818, 2021 | | 2021 |
| ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization (Supplementary Material) M Kanakis, S Maurer, M Spallanzani, A Chhatkuli, L Van Gool | | |
Luca BeniniETH Zürich, Università di BolognaVerified email at unibo.it
