activity
20182021
collaborators

15 papers

cs.GR2021

Fast Approximation of Persistence Diagrams with Guarantees

Jules Vidal, Julien Tierny

This paper presents an algorithm for the efficient approximation of the saddle-extremum persistence diagram of a scalar field. Vidal et al. introduced recently a fast algorithm for…

cs.GR2021

Wasserstein Distances, Geodesics and Barycenters of Merge Trees

Mathieu Pont, Jules Vidal, Julie Delon +1

This paper presents a unified computational framework for the estimation of distances, geodesics and barycenters of merge trees. We extend recent work on the edit distance [106] an…

cs.GR2020

TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data

Harish Doraiswamy, Julien Tierny, Paulo J. S. Silva +2

Multidimensional Projection is a fundamental tool for high-dimensional data analytics and visualization. With very few exceptions, projection techniques are designed to map data fr…

cs.DS2020

Localized Topological Simplification of Scalar Data

Jonas Lukasczyk, Christoph Garth, Ross Maciejewski +1

This paper describes a localized algorithm for the topological simplification of scalar data, an essential pre-processing step of topological data analysis (TDA). Given a scalar fi…

cs.GR2020

A Progressive Approach to Scalar Field Topology

Jules Vidal, Pierre Guillou, Julien Tierny

This paper introduces progressive algorithms for the topological analysis of scalar data. Our approach is based on a hierarchical representation of the input data and the fast iden…

cs.GR2019

Statistical Parameter Selection for Clustering Persistence Diagrams

Max Kontak, Jules Vidal, Julien Tierny

In urgent decision making applications, ensemble simulations are an important way to determine different outcome scenarios based on currently available data. In this paper, we will…