collaborators

10 papers

math.AT2026

The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology

Mattéo Clémot, Julie Digne, Julien Tierny

Multiparameter persistent homology is a rapidly developing branch of topological data analysis that improves the robustness of single-parameter persistent homology to outliers, whi…

cs.CG2026

Sierpiński--Knopp Wasserstein Distance for Persistence Diagrams and Applications to 2-Wasserstein Approximation

Sebastien Tchitchek, Julien Tierny

This paper introduces the Sierpiński-Knopp (SK) Wasserstein distance, a fast metric between persistence diagrams. The SK-Wasserstein distance, denoted , maps diagr…

cs.CG2025

Delaunay-Rips filtration: a study and an algorithm

Mattéo Clémot, Julie Digne, Julien Tierny

The Delaunay-Rips filtration is a lighter and faster alternative to the well-known Rips filtration for low-dimensional Euclidean point clouds, making it a promising tool for topolo…

cs.CG2025

Continuous Edit Distance, Geodesics and Barycenters of Time-varying Persistence Diagrams

Sebastien Tchitchek, Mohamed Kissi, Julien Tierny

We introduce the Continuous Edit Distance (CED), a geodesic and elastic distance for time-varying persistence diagrams (TVPDs). The CED extends edit-distance ideas to TVPDs by comb…

cs.LG2025

Robust Barycenters of Persistence Diagrams

Keanu Sisouk, Eloi Tanguy, Julie Delon +1

This short paper presents a general approach for computing robust Wasserstein barycenters of persistence diagrams. The classical method consists in computing assignment arithmetic…

cs.LG2025

Topology Aware Neural Interpolation of Scalar Fields

Mohamed Kissi, Keanu Sisouk, Joshua A. Levine +1

This paper presents a neural scheme for the topology-aware interpolation of time-varying scalar fields. Given a time-varying sequence of persistence diagrams, along with a sparse t…

cs.DC2025

Distributed Discrete Morse Sandwich: Efficient Computation of Persistence Diagrams for Massive Scalar Data

Eve Le Guillou, Pierre Fortin, Julien Tierny

The persistence diagram, which describes the topological features of a dataset, is a key descriptor in Topological Data Analysis. The "Discrete Morse Sandwich" (DMS) method has bee…

cs.LG2025

BondMatcher: H-Bond Stability Analysis in Molecular Systems

Thomas Daniel, Malgorzata Olejniczak, Julien Tierny

This application paper investigates the stability of hydrogen bonds (H-bonds), as characterized by the Quantum Theory of Atoms in Molecules (QTAIM). First, we contribute a database…

cs.CG2025

Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction

Mattéo Clémot, Julie Digne, Julien Tierny

This paper presents a novel topology-aware dimensionality reduction approach aiming at accurately visualizing the cyclic patterns present in high dimensional data. To that end, we…

cs.LG2025

A User's Guide to Sampling Strategies for Sliced Optimal Transport

Keanu Sisouk, Julie Delon, Julien Tierny

This paper serves as a user's guide to sampling strategies for sliced optimal transport. We provide reminders and additional regularity results on the Sliced Wasserstein distance.…