works on
cat(kappa) spaces 1computational anatomy 1convex order 1deformation registration 1diffeomorphisms 1martingale transport 1metric geometry 1optimal transport 1shape analysis 1varifolds 1

From the 2 of 13 papers with an AI index.

most citedTrain-Free Segmentation in MRI with Cubical Persistent Homology

5 citations

researchers with a paper here
collaborating institutions

13 papers

math.DG2026

A Varifold-Based Score for Decoupling Deformations in Shape Analysis

Rayane Mouhli, Barbara Gris, Irène Kaltenmark

The paper proposes a varifold-based coupling score that separates different deformation components during shape registration, helping preserve true geometric variability in computa…

math.FA2026

A Brenier-Strassen Theorem on CAT(kappa) Spaces

Nathael Gozlan, Hugo Malamut, Shin-Ichi Ohta

The paper generalizes the Brenier‑Strassen theorem to spaces with curvature bounded above, proving existence and uniqueness of a Wasserstein‑2 projection onto measures dominated in…

math.PR2026

Hyperuniform random measures, transport and rigidity

Raphaël Lachièze-Rey

This survey explores the foundational theory and recent developments in the study of hyperuniformity. We present a comprehensive mathematical framework in the context of weakly sta…

math.OC2026

Sliced Transport Plans

Eloi Tanguy, Laetitia Chapel, Julie Delon

Since the introduction of the Sliced Wasserstein distance in the literature, its simplicity and efficiency have made it one of the most interesting surrogate for the Wasserstein di…

math.CA2026

Improved polynomial estimate for the Lebesgue constants of Leja sequences on finite unions of intervals

Camille Pouchol

We prove a new polynomial upper bound for the Lebesgue constants of -Leja sequences on finite unions of real intervals. Building on an estimate of Andrievskii and Nazarov, we r…

math.ST2026

Adaptive nonparametric regression from repeated measurements under common noise

Fabienne Comte, Bianca Neubert

We consider nonparametric estimation of the regression function in a model where individuals share a common noise component and repeated measurements are available for each individ…