Laboratoire Interdisciplinaire des Sciences du Numérique

Domaines scientifiques déclarés au RNSR

Mots-clés des publications HAL repérées

Projets ANR

• Modélisation par apprentissage automatique des dynamos turbulentes · 2025
• Recombinaison et impacts évolutifs du sexe facultatif sur la diversité génétique. · 2025
• tVISt: Visualisation de données sur des écrans non planes · 2024

Publications HAL récentes repérées

• Workflow abstractions for automatic modularity: improving workflow code reusability · 2027

  Résumé de la publication : Data analysis workflows are central to data-intensive science, while their increasing structural complexity makes understanding and reuse difficult. Large workflow graphs, often composed of hundreds of steps and thousands of data dependencies, can overwhelm users and hinder code exploration. Subworkflows provide a…

• Dense and nondense limits for uniform random intersection graphs · 2026

  Résumé de la publication : We obtain the scaling limits of random graphs drawn uniformly in three families of intersection graphs: permutation graphs, circle graphs, and unit interval graphs. The two first families typically generate dense graphs, in these cases we prove a.s. convergence to an explicit…

• Predicting large scale cosmological structure evolution with GAN-based autoencoders · 2026

  Résumé de la publication : Cosmological simulations play a key role in the prediction and understanding of large scale structure formation from initial conditions. We make use of GAN-based Autoencoders (AEs) in an attempt to predict structure evolution within simulations. The AEs are trained on images and…

• An approximate dynamic programming approach for multi-stage stochastic lot-sizing under a Decision-Hazard-Decision information structure · 2026

  Résumé de la publication : This work studies a combinatorial optimization problem encountered in industrial production planning: the single-item multi-resource lot-sizing problem with inventory bounds and lost sales. The demand to be satisfied by the production plan is subject to uncertainty and only probabilistically known. We consider…

• Modeling and generating user‐centered contrastive explanations for the workforce scheduling and routing problem · 2026

  Résumé de la publication : In the last decade, explainability has been attracting much attention in the machine learning community. However, this research topic extends beyond this field to encompass others such as operations research and combinatorial optimization (CO). This paper addresses this issue in the case…