6 papers

cs.RO2026

Intercepting an Agile Target with Net-Carrying Drones using Competitive Multi-Agent Reinforcement Learning

Timothée Gavin, Murat Bronz

This article presents a solution to intercept an agile drone by a team of agile drone carrying catching nets. We formulate the problem as a competitive Multi-Agent Reinforcement Le…

cs.GR2026

Enhancing Line Density Plots with Outlier Control and Bin-based Illumination

Yumeng Xue, Bin Chen, Patrick Paetzold +3

Density plots effectively summarize large numbers of points, which would otherwise lead to severe overplotting in, for example, a scatter plot. However, when applied to line-based…

stat.ML2026

On the Wasserstein Geodesic Principal Component Analysis of probability measures

Nina Vesseron, Elsa Cazelles, Alice Le Brigant +1

This paper focuses on Geodesic Principal Component Analysis (GPCA) on a collection of probability distributions using the Otto-Wasserstein geometry. The goal is to identify geodesi…

math.ST2026

On-line Pick-Freeze Mirror algorithm for Sensitity Analysis

Manon Costa, Sébastien Gadat, Xavier Gendre +1

The main objective of this paper is to propose a new approach for estimating the entire collection of Sobol' indices simultaneously. Our approach exploits the fact that Sobol' indi…

math.AP2026

PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems

Florian Courteville, Iain Henderson, Denis Matignon +1

In order to learn distributed port-Hamiltonian systems (dPHS) using Gaussian processes (GPs), the partitioned finite element method (PFEM) is combined with the Gp-dPHS method. By f…

physics.atom-ph2026

An experiment to improve understanding wave-particle duality

Michel Gondran, Alexandre Gondran

This article presents an experiment that can be conducted today and that could provide a deeper understanding of the interaction between the wave and particle aspects of an atom. T…