Publications

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

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

Continental interfaces, environment

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

Volcanology

Near real-time monitoring of volcanic deformation and lava flows from multi-angular Capella Space SAR imagery

Monitoring deformation and surface changes is crucial for rapid hazard assessment during volcanic eruptions. This can be achieved by detecting changes in Synthetic Aperture Radar (SAR) images. However, most traditional methods require SAR images…

Arthur Hauck, Raphaël Grandin, Fidel Costa, Aline Peltier, Nicolas Villeneuve, Jean-Luc Froger, Roland Akiki, Jérémy Anger, Carlo de Franchis

Bulletin of Volcanology - 2026

Machine Learning

Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images

Super-resolution (SR) of satellite imagery is challenging due to the lack of paired low-/high-resolution data. Recent self-supervised SR methods overcome this limitation by exploiting the temporal redundancy in burst observations, but they lack a…

Zhe Zheng, Valéry Dewil, Pablo Arias