output
20022026
most citedUncovering latent structure in valued graphs: A variational approach

221 citations

193 papers

q-fin.PM2026

End-to-End Neural Shrinkage of Indefinite Pairwise Correlation Matrices for Small-Cap-Inclusive Portfolios

Christian Bongiorno, Lorenzo Villassero

Small-cap-inclusive equity universes contain recently listed and intermittently traded securities, so enforcing a common look-back discards a substantial fraction of the available…

math.ST2025

A model-free Screening procedure

J Dedecker, M L Taupin, A S Tocquet

In this article, we propose a generic screening method for selecting explanatory variables correlated with the response variable Y . We make no assumptions about the existence of a…

math.NA2025

From flocking to jamming in collective cell dynamics: a Vicsek-like model including contact forces

Laurent Navoret, Roxana Sublet, Marcela Szopos

The goal of the present work is to propose an agent-based model that originally combines classical Vicsek-like polarity alignments and contact forces, as implemented in the framewo…

stat.ML2025

Common Structure Discovery in Collections of Bipartite Networks: Application to Pollination Systems

Louis Lacoste, Pierre Barbillon, Sophie Donnet

Bipartite networks are widely used to encode the ecological interactions. Being able to compare the organization of bipartite networks is a first step toward a better understanding…

stat.ML2025

Transforming Conditional Density Estimation Into a Single Nonparametric Regression Task

Alexander G. Reisach, Olivier Collier, Alex Luedtke +1

We propose a way of transforming the problem of conditional density estimation into a single nonparametric regression task via the introduction of auxiliary samples. This allows le…

math.DG2025

Decoupling actions of finite-dimensional Lie groups and of groups of diffeomorphisms in the large deformation framework

Rayane Mouhli, Thomas Pierron

In computational anatomy, the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework has become a central tool for modeling smooth, invertible transformations between sha…