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Giovanni Barbarino

6 papers hereh-index 211 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author2
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • math.NA4
  • math.OC1
  • stat.ML1
same name
  • Giovanni Barbarino — 20 papers, h 9
  • Giovanni Barbarino — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDual Simplex Volume Maximization for Simplex-Structured Matrix Factorization

2 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing math.NAShow all

4 papers · 1 filter

math.NA2025

Identifiability of Nonnegative Tucker Decompositions -- Part I: Theory

Subhayan Saha, Giovanni Barbarino, Nicolas Gillis

Tensor decompositions have become a central tool in data science, with applications in areas such as data analysis, signal processing, and machine learning. A key property of many…

math.NA2025

The uniqueness of Lyapunov rank among symmetric cones

Michael Orlitzky, Giovanni Barbarino

The Lyapunov rank of a cone is the dimension of the Lie algebra of its automorphism group. It is invariant under linear isomorphism and in general not unique - two or more non-isom…

math.NA2024★ 1 cited

On the Robustness of the Successive Projection Algorithm

Giovanni Barbarino, Nicolas Gillis

The successive projection algorithm (SPA) is a workhorse algorithm to learn the r vertices of the convex hull of a set of (r−1)-dimensional data points, a.k.a. a latent simplex…

math.NA2024★ 2 cited

Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization

Maryam Abdolali, Giovanni Barbarino, Nicolas Gillis

Simplex-structured matrix factorization (SSMF) is a generalization of nonnegative matrix factorization, a fundamental interpretable data analysis model, and has applications in hyp…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.