Publications

Computation

Digital twin-based hybrid framework for steam generator clogging prognostics

We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reactors. The proposed approach combines a physics-based simulation code,…

Edgar Jaber, Emmanuel Remy, Vincent Chabridon, Morgane Garo-Sail, Mathilde Mougeot, Didier Lucor, Jerome Delplace, Maxime Lointier

Cognitive science

Neurophysiological Resting-State Markers of Catatonia in Schizophrenia and Mood Disorders

Abstract Background and Hypothesis Identifying reliable diagnostic biomarkers in catatonia remains a key challenge to improve early intervention and reduce morbidity and mortality. Since its pathophysiology may involve cortical dysconnectivity,…

Mylène Moyal, Aline Lefebvre, Sahar Allouch, Sophie Sebille, David Alexander, Laura Dugué, Mahmoud Hassan, Victor Férat, Marie-Odile Krebs, Martine Gavaret, Boris Chaumette, Marion Plaze, Anton Iftimovici

Schizophrenia Bulletin - 2026

Optimization and Control

Accelerating Full-Scale Nonlinear Model Predictive Control via Surrogate Dynamics Optimization

Driven by advances in hardware and software technologies, nonlinear model predictive control (NMPC) has gained increasing adoption in both industry and academia over the past decades. However, its practical deployment is often limited by the…

Perceval Beja-Battais, Guillaume Dupré, Alain Grossetête, Nicolas Vayatis

Computer Science

Unlocking Few-Shot Capabilities in LVLMs via Prompt Conditioning and Head Selection

Current Large Vision Language Models (LVLMs) excel at many zero-shot tasks like image captioning, visual question answering and OCR. However, these same models suffer from poor performance at image classification tasks, underperforming against CLIP…

Adhémar de Senneville, Xavier Bou, Jérémy Anger, Rafael Grompone, Gabriele Facciolo

Computer Science

EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering

Pierrick Bournez, Luca Savant Aira, Thibaud Ehret, Gabriele Facciolo

Mathematics

Geometry of the Ising persistence problem and the universal Bonnet-Manin Painlevé VI distribution

We determine the full persistence probability distribution for a non-Markovian stochastic process, motivated by first-passage questions arising in interacting spin systems and allied systems. We show that this distribution is governed by a…

Ivan Dornic, Robert Conte

Journal of Statistical Physics - 2026

Engineering Sciences

Microstructure and Mechanical Performance of 3D-Printed Carbon Fibre—PLA-PHA Composites

This research delves into the impact of varying printing angles in the range (0°, 15°, 30°, 45°) on the thermal and mechanical characteristics of carbon fibre–PLA/PHA composites fabricated via fused filament fabrication (FFF). The microstructural…

David Bassir, Sofiane Guessasma

Polymers - 2026

Cognitive science

SAM-Guide : vers un premier Laser Run à destination de sportifs non-voyants

The ANR SAM-Guide project aims to make Laser Run accessible to blind and visually impaired individuals through a multimodal combination of navigation and target acquisition assistance systems. The device provides real-time auditory and/or tactile…

Katerin Romeo-Pakker, Sylvain Huet, Elise Faugloire, Alouges François, Ennaji Abdellatif, Lecomte Christèle, Luo Wenqi, Denis Pellerin, Coline Fons, Mantel Bruno, Thomas Mathieu, Ferrand Sylvain, Francqueville Clément, Christian Graff

HANDICAP 2026 - 2026

Environmental Engineering

Comparative analysis of dual-form networks for live land monitoring using multi-modal satellite image time series

Multi-modal Satellite Image Time Series (SITS) analysis faces significant computational challenges for live land monitoring applications. While Transformer architectures excel at capturing temporal dependencies and fusing multi-modal data, their…

Iris Dumeur, Jérémy Anger, Gabriele Facciolo

Computer Vision and Pattern Recognition

Combi-CAM: A Novel Multi-Layer Approach for Explainable Image Geolocalization

Planet-scale photo geolocalization involves the intricate task of estimating the geographic location depicted in an image purely based on its visual features. While deep learning models, particularly convolutional neural networks (CNNs), have…

David Faget, José Luis Lisani, Miguel Colom

21st International Conference on Computer Vision Theory and Applications - 2026