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Gian Paolo Leonardi
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2020 – today
- 2024
- [i4]Massimiliano Datres, Gian Paolo Leonardi, Alessio Figalli, David Sutter:
A Two-Scale Complexity Measure for Deep Learning Models. CoRR abs/2401.09184 (2024) - 2022
- [c4]Matteo Spallanzani, Gian Paolo Leonardi, Luca Benini:
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm. CVPR 2022: 470-479 - [i3]Matteo Spallanzani, Gian Paolo Leonardi, Luca Benini:
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm. CoRR abs/2203.11323 (2022) - 2020
- [i2]Gian Paolo Leonardi
, Matteo Spallanzani:
Analytical aspects of non-differentiable neural networks. CoRR abs/2011.01858 (2020)
2010 – 2019
- 2019
- [i1]Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi
, Marko Bertogna, Luca Benini:
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks. CoRR abs/1905.10452 (2019) - 2015
- [c3]Blanche Buet, Gian Paolo Leonardi
, Simon Masnou:
Discrete Varifolds: A Unified Framework for Discrete Approximations of Surfaces and Mean Curvature. SSVM 2015: 513-524 - 2011
- [c2]Maria Luisa Merani
, Daniela Saladino, Gian Paolo Leonardi
:
A Model to Seize the Instantaneous Performance of P2P Streaming Platforms: Simulative and Experimental Validation. GLOBECOM 2011: 1-6
2000 – 2009
- 2009
- [c1]Maria Luisa Merani
, Gian Paolo Leonardi
, Daniela Saladino:
Scalability and Peer Churning in IP-TV: An Analytical Insight. GLOBECOM 2009: 1-6
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last updated on 2024-04-25 05:50 CEST by the dblp team
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