Publications

Probability

LIPO+: Frugal Global Optimization for Lipschitz Functions

In this paper, we propose simple yet effective empirical improvements to the algorithms of the LIPO family, introduced in [Malherbe2017], that we call LIPO+ and AdaLIPO+. We compare our methods to the vanilla versions of the algorithms over standard…

Gaëtan Serré, Perceval Beja-Battais, Sophia Chirrane, Argyris Kalogeratos, Nicolas Vayatis

SETN '24: Proceedings of the 13th Hellenic Conference on Artificial Intelligence - 2024

Physics

Non-intrusive reduced order models for partitioned fluid–structure interactions

The main goal of this work is to develop a data-driven Reduced Order Model (ROM) strategy from high-fidelity simulation result data of a Full Order Model (FOM). The goal is to predict at lower computational cost the time evolution of solutions of…

Azzeddine Tiba, Thibault Dairay, Florian de Vuyst, Iraj Mortazavi, Juan-Pedro Berro Ramirez

Journal of Fluids and Structures - 2024

Spectral Theory

Synthbuster: Towards Detection of Diffusion Model Generated Images

Synthetically-generated images are getting increasingly popular. Diffusion models have advanced to the stage where even non-experts can generate photo-realistic images from a simple text prompt. They expand creative horizons but also open a Pandora…

Quentin Bammey

IEEE Open Journal of Signal Processing - 2024

Structural mechanics

PREFACE for THESIS-2019 Special Issue of the EJMFLU

Frédéric Dias, Kim Dan Nguyen, Tian-Jian Hsu, Sylvain S Guillou

European Journal of Mechanics - B/Fluids - 2024

General Mathematics

The graded group action framework for sub-riemannian orbit models in shape spaces

In the standard orbit model on shape analysis, a group of diffeomorphism on the ambient space equipped with a right invariant sub-riemannian metric acts on a space of shapes and induces a sub-riemannian structure on various spaces. An important…

Thomas Pierron, Alain Trouvé

Engineering Sciences

Méthodologie de calcul des lois de survie à partir de tests de fatigue

Dans ce papier, nous explorons une méthodologie permettant d’établir des trajectoires de vieillissement à partir d’essai de fatigue. Notre approche s’appuie sur des chaînes de Markov et permet de proposer une méthode pour calculer des lois de survie…

Dorian Collot, Vincent Laurent, Julien Said, Maxime Gueguin

16ème Colloque National en Calcul de Structures (CSMA 2024) - 2024

Psychiatrics and mental health

Corrélats cérébraux de l’anxiété catégorielle et dimensionnelle

Anxiety disorders are highly prevalent and represent a heavy burden of disease. However, despite a large group-level neuroimaging literature, robust brain markers of vulnerability or therapeutic response struggle to emerge. In recent years,…

Alice Chavanne

Life Sciences

CNS erythroblastic sarcoma: a potential emerging pediatric tumor type characterized by NFIA::RUNX1T1/3 fusions

Abstract Erythroblastic sarcoma (ES) (previously called chloroma or granulocytic sarcoma) are rare hematological neoplams characterized by the proliferation of myeloid blasts at extramedullary sites, and primarily involve the skin and soft tissue of…

Arnault Tauziède-Espariat, Lucille Lew-Derivry, Samuel Abbou, Alice Métais, Gaëlle Pierron, Stéphanie Reynaud, Julien Masliah-Planchon, Cassandra Mariet, Lauren Hasty, Volodia Dangouloff-Ros, Nathalie Boddaert, Marie Csanyi, Aude Aline-Fardin, Claire Lamaison, Fabrice Chrétien, Kévin Beccaria, Stéphanie Puget, Pascale Varlet

Acta Neuropathologica Communications - 2024

Classical Analysis and ODEs

Convergence to line and surface energies in nematic liquid crystal colloids with external magnetic field

We use the Landau-de Gennes energy to describe a particle immersed into nematic liquid crystals with a constant applied magnetic field. We derive a limit energy in a regime where both line and point defects are present, showing quantitatively that…

François Alouges, Antonin Chambolle, Dominik Stantejsky

Calculus of Variations and Partial Differential Equations - 2024

Signal and Image processing

d_symb playground: an interactive tool to explore large multivariate time series datasets

Exploring and comparing non-stationary multivariate time series is an important problem in many domains and real-world applications. In recent work, we introduced d_symb, a symbolic representation that transforms multivariate time series into…

Sylvain W Combettes, Paul Boniol, Charles Truong, Laurent Oudre

2024 IEEE 40th International Conference on Data Engineering (ICDE) - 2024