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Matteo Spallanzani
Matteo Spallanzani
Deep Learning Engineer, Axelera AI
Verified email at axelera.ai
Title
Cited by
Cited by
Year
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
272022
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
182019
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
152023
QuantLab: A modular framework for training and deploying mixed-precision NNs
M Spallanzani, G Rutishauser, M Scherer, A Burrello, F Conti, L Benini
TinyML Summit, 2022
152022
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
72022
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
42022
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
42016
Analytical aspects of non-differentiable neural networks
GP Leonardi, M Spallanzani
arXiv preprint arXiv:2011.01858, 2020
12020
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
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