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20072023
most citedSliced Wasserstein Kernel for Persistence Diagrams

87 citations · 317 across the 22 of their papers we have counts for

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12 papers · 1 filter

cs.CG2021

A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis

Jacob Leygonie, Mathieu Carrière, Théo Lacombe +1

We introduce a novel gradient descent algorithm extending the well-known Gradient Sampling methodology to the class of stratifiably smooth objective functions, which are defined as…

cs.CG2019★ 9 cited

Intrinsic Interleaving Distance for Merge Trees

Ellen Gasparovic, Elizabeth Munch, Steve Oudot +3

Merge trees are a type of graph-based topological summary that tracks the evolution of connected components in the sublevel sets of scalar functions. They enjoy widespread applicat…

cs.CG2017★ 87 cited

Sliced Wasserstein Kernel for Persistence Diagrams

Mathieu Carrière, Marco Cuturi, Steve Oudot

Persistence diagrams (PDs) play a key role in topological data analysis (TDA), in which they are routinely used to describe topological properties of complicated shapes. PDs enjoy…

cs.CG2017★ 59 cited

Statistical Analysis and Parameter Selection for Mapper

Mathieu Carrière, Bertrand Michel, Steve Oudot

In this article, we study the question of the statistical convergence of the 1-dimensional Mapper to its continuous analogue, the Reeb graph. We show that the Mapper is an optimal…

cs.CG2017

Local Equivalence and Intrinsic Metrics between Reeb Graphs

Mathieu Carrière, Steve Oudot

As graphical summaries for topological spaces and maps, Reeb graphs are common objects in the computer graphics or topological data analysis literature. Defining good metrics betwe…

cs.CG2016★ 4 cited

Computing Zigzag Persistent Cohomology

Clément Maria, Steve Oudot

Zigzag persistent homology is a powerful generalisation of persistent homology that allows one not only to compute persistence diagrams with less noise and using less memory, but a…