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Mattia G. Bergomi
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2020 – today
- 2023
- [j4]Mattia G. Bergomi, Massimo Ferri:
Exploring Graph and Digraph Persistence. Algorithms 16(10): 465 (2023) - [j3]Mattia G. Bergomi, Massimo Ferri, Antonella Tavaglione:
Steady and ranging sets in graph persistence. J. Appl. Comput. Topol. 7(1): 33-56 (2023) - [j2]Mattia G. Bergomi, Massimo Ferri, Alessandro Mella, Pietro Vertechi:
Generalized Persistence for Equivariant Operators in Machine Learning. Mach. Learn. Knowl. Extr. 5(2): 346-358 (2023) - [c2]Pietro Vertechi, Mattia G. Bergomi:
Machines of Finite Depth: Towards a Formalization of Neural Networks. AAAI 2023: 10061-10068 - 2022
- [i9]Pietro Vertechi, Mattia G. Bergomi:
Machines of finite depth: towards a formalization of neural networks. CoRR abs/2204.12786 (2022) - [i8]Mattia G. Bergomi, Pietro Vertechi:
Neural network layers as parametric spans. CoRR abs/2208.00809 (2022) - [i7]Mattia G. Bergomi, Massimo Ferri, Alessandro Mella, Pietro Vertechi:
Persistence-based operators in machine learning. CoRR abs/2212.13985 (2022) - 2020
- [i6]Pietro Vertechi, Patrizio Frosini, Mattia G. Bergomi:
Parametric machines: a fresh approach to architecture search. CoRR abs/2007.02777 (2020) - [i5]Mattia G. Bergomi, Massimo Ferri, Antonella Tavaglione:
Steady and ranging sets in graph persistence. CoRR abs/2009.06897 (2020)
2010 – 2019
- 2019
- [j1]Mattia G. Bergomi, Patrizio Frosini, Daniela Giorgi, Nicola Quercioli:
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning. Nat. Mach. Intell. 1(9): 423-433 (2019) - [i4]Mattia G. Bergomi, Pietro Vertechi:
Rank-based persistence. CoRR abs/1905.09151 (2019) - 2018
- [i3]Francisco Romero-Ferrero, Mattia G. Bergomi, Robert Hinz, Francisco J. H. Heras, Gonzalo G. de Polavieja:
idtracker.ai: Tracking all individuals in large collectives of unmarked animals. CoRR abs/1803.04351 (2018) - [i2]Mattia G. Bergomi, Patrizio Frosini, Daniela Giorgi, Nicola Quercioli:
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning. CoRR abs/1812.11832 (2018) - 2016
- [c1]Mattia G. Bergomi, Adriano Baratè, Barbara Di Fabio:
Towards a Topological Fingerprint of Music. CTIC 2016: 88-100 - [i1]Mattia G. Bergomi, Adriano Baratè, Barbara Di Fabio:
Towards a topological fingerprint of music. CoRR abs/1602.00739 (2016) - 2015
- [b1]Mattia Giuseppe Bergomi:
Dynamical and Topological Tools for (Modern) Music Analysis. (Outils dynamiques et topologiques pour l'analyse musicale). University of Milan, Italy, 2015 - 2014
- [p1]Raffaella Folgieri, Mattia G. Bergomi, Simone Castellani:
EEG-Based Brain-Computer Interface for Emotional Involvement in Games Through Music. Digital Da Vinci 2014: 205-236
Coauthor Index
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