Matteo Spallanzani

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Fingerprint Classification

Annealing Algorithm

Top Venues

Publications

Menelaos Kanakis, Simon Maurer, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CVPR Workshops (2023)
Matteo Spallanzani, Gian Paolo Leonardi, Luca Benini
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm. CVPR (2022)
Matteo Spallanzani, Gian Paolo Leonardi, Luca Benini
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm. CoRR (2022)
Matteo Spallanzani, Gueorgui Mihaylov, Marco Prato, Roberto Fontana
A fingerprint of a heterogeneous data set. Adv. Data Anal. Classif. 16 (3) (2022)
Alfio Di Mauro, Arpan Suravi Prasad, Zhikai Huang, Matteo Spallanzani, Francesco Conti, Luca Benini
SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions. CoRR (2022)
Alfio Di Mauro, Arpan Suravi Prasad, Zhikai Huang, Matteo Spallanzani, Francesco Conti, Luca Benini
SNE: an Energy-Proportional Digital Accelerator for Sparse Event-Based Convolutions. DATE (2022)
Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani
Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering. CoRR (2022)
Simon Maurer, Menelaos Kanakis, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CoRR (2022)
Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani
Reducing neural architecture search spaces with training-free statistics and computational graph clustering. CF (2022)
Frank Hannig, Paolo Meloni, Matteo Spallanzani, Matthias Ziegler
Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021). CoRR (2021)
Gian Paolo Leonardi, Matteo Spallanzani
Analytical aspects of non-differentiable neural networks. CoRR (2020)
Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi, Marko Bertogna, Luca Benini
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks. CoRR (2019)