On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Cascarano, Pasquale, Frosini, Patrizio, Quercioli, Nicola, Saki, Amir
Format: Preprint
Published: 2021
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910283812831232
author Cascarano, Pasquale
Frosini, Patrizio
Quercioli, Nicola
Saki, Amir
author_facet Cascarano, Pasquale
Frosini, Patrizio
Quercioli, Nicola
Saki, Amir
contents Group equivariant non-expansive operators have been recently proposed as basic components in topological data analysis and deep learning. In this paper we study some geometric properties of the spaces of group equivariant operators and show how a space $\mathcal{F}$ of group equivariant non-expansive operators can be endowed with the structure of a Riemannian manifold, so making available the use of gradient descent methods for the minimization of cost functions on $\mathcal{F}$. As an application of this approach, we also describe a procedure to select a finite set of representative group equivariant non-expansive operators in the considered manifold.
format Preprint
id arxiv_https___arxiv_org_abs_2103_02543
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
Cascarano, Pasquale
Frosini, Patrizio
Quercioli, Nicola
Saki, Amir
Differential Geometry
Machine Learning
Primary: 55N31, Secondary: 58D20, 58D30, 62R40, 65D18, 68T09
Group equivariant non-expansive operators have been recently proposed as basic components in topological data analysis and deep learning. In this paper we study some geometric properties of the spaces of group equivariant operators and show how a space $\mathcal{F}$ of group equivariant non-expansive operators can be endowed with the structure of a Riemannian manifold, so making available the use of gradient descent methods for the minimization of cost functions on $\mathcal{F}$. As an application of this approach, we also describe a procedure to select a finite set of representative group equivariant non-expansive operators in the considered manifold.
title On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
topic Differential Geometry
Machine Learning
Primary: 55N31, Secondary: 58D20, 58D30, 62R40, 65D18, 68T09
url https://arxiv.org/abs/2103.02543