Matteo Spallanzani

12 papers A* 1A 1Journal 8Unranked 2

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