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Related papers: Wasserstein Stability for Persistence Diagrams

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Distance measures between graphs are important primitives for a variety of learning tasks. In this work, we describe an unsupervised, optimal transport based approach to define a distance between graphs. Our idea is to derive…

Computational Engineering, Finance, and Science · Computer Science 2024-04-11 Michael Scholkemper , Damin Kühn , Gerion Nabbefeld , Simon Musall , Björn Kampa , Michael T. Schaub

This short paper presents a general approach for computing robust Wasserstein barycenters of persistence diagrams. The classical method consists in computing assignment arithmetic means after finding the optimal transport plans between the…

Machine Learning · Computer Science 2026-01-22 Keanu Sisouk , Eloi Tanguy , Julie Delon , Julien Tierny

In this paper, we extend bottleneck stability to the setting of one dimensional constructible persistences module valued in any small abelian category.

Algebraic Topology · Mathematics 2020-09-09 Alex McCleary , Amit Patel

We endow the set of persistence diagrams with the strong topology (the topology of countable direct limit of increasing sequence of bounded subsets considered in the bottleneck distance). The topology of the obtained space is described.…

General Topology · Mathematics 2020-05-22 Volodymyr Kiosak , Aleksandr Savchenko , Mykhailo Zarichnyi

We study the stability of $p$-area minimizing surfaces in the Heisenberg group under perturbations of the weight function and the drift vector field in generalized least gradient problems of the form \[ \inf_{w\in BV_0(\Omega)} \int_\Omega…

Analysis of PDEs · Mathematics 2026-05-26 Amir Moradifam , Gerardo Orozco-Fernandez

We consider a random network of nonlinear maps exhibiting a wide range of local dynamics, with the links having normally distributed interaction strengths. The stability of such a system is examined in terms of the asymptotic fraction of…

Adaptation and Self-Organizing Systems · Physics 2009-11-10 Sitabhra Sinha , Sudeshna Sinha

Algebraic topology methods have recently played an important role for statistical analysis with complicated geometric structured data such as shapes, linked twist maps, and material data. Among them, \textit{persistent homology} is a…

Machine Learning · Statistics 2018-10-30 Tam Le , Makoto Yamada

The primary objective of this paper is to introduce Hyers-Ulam-type stability results for monotone, subadditive, and convex graphs. We consider their standard definitions in an approximate sense and demonstrate the existence of a…

General Mathematics · Mathematics 2026-02-05 Angshuman R. Goswami , Mahmood K. Shihab

We present a generalization of the induced matching theorem and use it to prove a generalization of the algebraic stability theorem for $\mathbb{R}$-indexed pointwise finite-dimensional persistence modules. Via numerous examples, we show…

Algebraic Topology · Mathematics 2018-01-23 Shaun Harker , Miroslav Kramar , Rachel Levanger , Konstantin Mischaikow

Euler and Betti curves of stochastic processes defined on a $d$-dimensional compact Riemannian manifold which are almost surely in a Sobolev space $W^{n,s}(X,\mathbb{R})$ (with $d<n$) are stable under perturbations of the distributions of…

Probability · Mathematics 2022-11-23 Daniel Perez

Persistent homology is a topological data analysis tool that has been widely generalized, extending its scope beyond the field of topology. Among its extensions, steady and ranging persistence were developed to study a wide variety of graph…

Algebraic Topology · Mathematics 2026-05-15 Yann-Situ Gazull

Persistence diagrams are useful displays that give a summary information regarding the topological features of some phenomenon. Usually, only one persistence diagram is available, and replicated persistence diagrams are needed for…

Algebraic Topology · Mathematics 2019-05-16 Sarit Agami

Persistent homology and persistent entropy have recently become useful tools for patter recognition. In this paper, we find requirements under which persistent entropy is stable to small perturbations in the input data and scale invariant.…

Information Theory · Computer Science 2020-06-22 N. Atienza , R. Gonzalez-Diaz , M. Soriano-Trigueros

These notes are a self-contained short proof of the stability of persistence diagrams.

Algebraic Topology · Mathematics 2021-03-22 Primoz Skraba , Katharine Turner

We build a functorial pipeline for persistent homology. The input to this pipeline is a filtered simplicial complex indexed by any finite metric lattice and the output is a persistence diagram defined as the M\"obius inversion of its…

Algebraic Topology · Mathematics 2024-08-29 Alexander McCleary , Amit Patel

Persistence modules are a central algebraic object arising in topological data analysis. The notion of interleaving provides a natural way to measure distances between persistence modules. We consider various classes of persistence modules,…

Algebraic Topology · Mathematics 2019-12-12 Peter Bubenik , Tane Vergili

Motivated both by theoretical and practical considerations in topological data analysis, we generalize the $p$-Wasserstein distance on barcodes to multiparameter persistence modules. For each $p\in [1,\infty]$, we in fact introduce two such…

Algebraic Topology · Mathematics 2021-11-12 Håvard Bakke Bjerkevik , Michael Lesnick

The problem of computing topological distance between two scalar fields based on Reeb graphs or contour trees has been studied and applied successfully to various problems in topological shape matching, data analysis, and visualization.…

Graphics · Computer Science 2023-09-12 Yashwanth Ramamurthi , Amit Chattopadhyay

Metric graphs are ubiquitous in science and engineering. For example, many data are drawn from hidden spaces that are graph-like, such as the cosmic web. A metric graph offers one of the simplest yet still meaningful ways to represent the…

Computational Geometry · Computer Science 2017-12-05 Tamal K. Dey , Dayu Shi , Yusu Wang

In this paper, we study the stability of the shadow, a projection of a measure onto the set of couplings with respect to the Wasserstein distance. The shadow was introduced by \citet{Eckstein_Nutz_2022} to analyze the stability of the…

Statistics Theory · Mathematics 2026-04-21 Jakwang Kim
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