activity
20132024
most citedRank-based persistence

3 citations · 3 across the 10 of their papers we have counts for

collaborators

14 papers

math.DS2024

Equivariant optimisation for the gravitational -body problem: a computational factory of symmetric orbits

Vivina Barutello, Mattia G. Bergomi, Gian Marco Canneori +4

In this paper we present \texttt{SymOrb.jl}, a software which combines group representation theory and variational methods to provide numerical solutions of singular dynamical syst…

cs.LG2022

Persistence-based operators in machine learning

Mattia G. Bergomi, Massimo Ferri, Alessandro Mella +1

Artificial neural networks can learn complex, salient data features to achieve a given task. On the opposite end of the spectrum, mathematically grounded methods such as topologica…

math.CT2022

Neural network layers as parametric spans

Mattia G. Bergomi, Pietro Vertechi

Properties such as composability and automatic differentiation made artificial neural networks a pervasive tool in applications. Tackling more challenging problems caused neural ne…

cs.LG2022

Machines of finite depth: towards a formalization of neural networks

Pietro Vertechi, Mattia G. Bergomi

We provide a unifying framework where artificial neural networks and their architectures can be formally described as particular cases of a general mathematical construction--machi…

cs.CG2020

Steady and ranging sets in graph persistence

Mattia G. Bergomi, Massimo Ferri, Antonella Tavaglione

Topological data analysis can provide insight on the structure of weighted graphs and digraphs. However, some properties underlying a given (di)graph are hardly mappable to simplic…

cs.LG2020

Parametric machines: a fresh approach to architecture search

Pietro Vertechi, Mattia G. Bergomi

Using tools from topology and functional analysis, we provide a framework where artificial neural networks, and their architectures, can be formally described. We define the notion…

math.AT2019★ 3 cited

Rank-based persistence

Mattia G. Bergomi, Pietro Vertechi

Persistence has proved to be a valuable tool to analyze real world data robustly. Several approaches to persistence have been attempted over time, some topological in flavor, based…

math.CO2019

Beyond topological persistence: Starting from networks

Mattia G. Bergomi, Massimo Ferri, Pietro Vertechi +1

Persistent homology enables fast and computable comparison of topological objects. However, it is naturally limited to the analysis of topological spaces. We extend the theory of p…

cs.LG2018

Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning

Mattia G. Bergomi, Patrizio Frosini, Daniela Giorgi +1

The aim of this paper is to provide a general mathematical framework for group equivariance in the machine learning context. The framework builds on a synergy between persistent ho…

cs.CV2018

idtracker.ai: Tracking all individuals in large collectives of unmarked animals

Francisco Romero-Ferrero, Mattia G. Bergomi, Robert Hinz +2

Our understanding of collective animal behavior is limited by our ability to track each of the individuals. We describe an algorithm and software, idtracker.ai, that extracts from…

math.CO2017

Topological Graph Persistence

Mattia G. Bergomi, Massimo Ferri, Lorenzo Zuffi

Graphs are a basic tool for the representation of modern data. The richness of the topological information contained in a graph goes far beyond its mere interpretation as a one-dim…

cs.SD2016

Towards a topological fingerprint of music

Mattia G. Bergomi, Adriano Baraté, Barbara Di Fabio

Can music be represented as a meaningful geometric and topological object? In this paper, we propose a strategy to describe some music features as a polyhedral surface obtained by…

math.HO2015

A mathematical model for voice leading and its complexity

Mattia G. Bergomi, Riccardo D. Jadanza, Alessandro Portaluri

We give a formal definition of the musical concept of voice leading in mathematical terms, based on the idea of partial permutations of certain ordered multisets. Then we associate…

math.AT2013

Modes in modern music from a topological viewpoint

Mattia G. Bergomi, Alessandro Portaluri

The aim of this paper is twofold: on one side we review the classical concept of musical mode from the viewpoint of modern music, reading it as a superimposition of a base-chord (s…