collaborators

6 papers

hep-th2026

General Properties of the Thermo-Metric for CV event manifolds and the magnetization combinatorial scheme

Pietro Fre, Alexander S. Sorin, Mario Trigiante

Following previous results recently obtained by us, on Information Geometry versus Geometrical Thermodynamics and on the exact calculation of partition functions for extended Souri…

math.DG2026

The paint group Tits Satake theory of hyperbolic symmetric spaces: the distance function, paint invariants and discrete subgroups

Ugo Bruzzo, Pietro Fré, Mario Trigiante

The present paper, which is partially a review, but also contains several completely new results, aims at presenting, in a unified mathematical framework, a complex and articulated…

cs.IT2026

Thermodynamics a la Souriau on Kähler Non Compact Symmetric Spaces for Cartan Neural Networks

Pietro G. Fré, Alexander S. Sorin, Mario Trigiante

In this paper, we clarify several issues concerning the abstract geometrical formulation of thermodynamics on non compact symmetric spaces that are the mathematical…

cs.LG2025

Tessellation Groups, Harmonic Analysis on Non-compact Symmetric Spaces and the Heat Kernel in view of Cartan Convolutional Neural Networks

Pietro Fré, Federico Milanesio, Marcelo Oyarzo +2

In this paper, we continue the development of the Cartan neural networks programme, launched with three previous publications, by focusing on some mathematical foundational aspects…

cs.LG2025

Navigation through Non-Compact Symmetric Spaces: a mathematical perspective on Cartan Neural Networks

Pietro Giuseppe Fré, Federico Milanesio, Guido Sanguinetti +1

Recent work has identified non-compact symmetric spaces U/H as a promising class of homogeneous manifolds to develop a geometrically consistent theory of neural networks. An initia…

cs.LG2025

Cartan Networks: Group theoretical Hyperbolic Deep Learning

Federico Milanesio, Matteo Santoro, Pietro G. Fré +1

Hyperbolic deep learning leverages the metric properties of hyperbolic spaces to develop efficient and informative embeddings of hierarchical data. Here, we focus on the solvable g…