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20212026
most citedMerge Tree Geodesics and Barycenters with Path Mappings

4 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Operational Abstractions of Neural Network Concepts via Topological Representations

Mathieu Pont, Christoph Garth

Concept-based methods provide a semantic level for interpreting and manipulating learned representations, but existing editing approaches are typically specialized to particular in…

cs.GR2025

Region-Aware Wasserstein Distances of Persistence Diagrams and Merge Trees

Mathieu Pont, Christoph Garth

This paper presents a generalization of the Wasserstein distance for both 0th persistence diagrams and merge trees [21], [68] that takes advantage of the regions of their topologic…

cs.LG2024

A Practical Solver for Scalar Data Topological Simplification

Mohamed Kissi, Mathieu Pont, Joshua A. Levine +1

This paper presents a practical approach for the optimization of topological simplification, a central pre-processing step for the analysis and visualization of scalar data. Given…

cs.GR2023★ 4 cited

Merge Tree Geodesics and Barycenters with Path Mappings

Florian Wetzels, Mathieu Pont, Julien Tierny +1

Comparative visualization of scalar fields is often facilitated using similarity measures such as edit distances. In this paper, we describe a novel approach for similarity analysi…

cs.LG2023

Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams)

Mahieu Pont, Julien Tierny

This paper presents a computational framework for the Wasserstein auto-encoding of merge trees (MT-WAE), a novel extension of the classical auto-encoder neural network architecture…

cs.GR2022★ 1 cited

Principal Geodesic Analysis of Merge Trees (and Persistence Diagrams)

Mathieu Pont, Jules Vidal, Julien Tierny

This paper presents a computational framework for the Principal Geodesic Analysis of merge trees (MT-PGA), a novel adaptation of the celebrated Principal Component Analysis (PCA) f…

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…