Publications

Functional Analysis

Nonlinear Lebesgue spaces: Dense subspaces, completeness and separability

L^p spaces of mappings taking values in arbitrary metric spaces, which we call nonlinear Lebesgue spaces, play an important role in several fields of mathematics. For instance, membership in these spaces is typically required for transport maps in…

Guillaume Sérieys, Alain Trouvé

Statistics

Uncovering Social Network Activity Using Joint User and Topic Interaction

The emergence of online social platforms, such as social networks and social media, has drastically affected the way people apprehend the information flows to which they are exposed. In such platforms, various information cascades spreading among…

Gaspard Abel, Argyris Kalogeratos, Jean-Pierre Nadal, Julien Randon-Furling

IEEE Transactions on Computational Social Systems - 2026

Applications

7-year trend of timely hepatitis B birth dose vaccination coverage in The Gambia: a retrospective, population-based analysis

Background According to WHO and UNICEF, Africa has the lowest coverage (18%) of timely (within the first 24 h) hepatitis B birth dose (HepB-BD) vaccination worldwide. To eliminate hepatitis B by 2030, 90% vaccination coverage is required…

Gibril Ndow, Isatou Cham, Rohey Bangura, Sainabou Drammeh, Cecile de Bezenac, Sarwar Golam S, Esu Ezeani, Pierre Gomez, Sheriff Badjie, Sidat Fofana, Mustapha Bittaye, Grant Mackenzie, Julien Randon-Furling, Umberto D’alessandro, Yusuke Shimakawa, Maud Lemoine

The Lancet global health - 2026

Biomechanics

Impact of sensory afferences in postural control quantified by force platform in healthy older adults: systematic review and meta-analysis

Postural balance in older adults is a key research focus, as impaired balance significantly increases fall risk, potentially leading to severe injury or mortality. Given age-related sensory decline, force-platform posturography assessing sensory…

J. Aflalo, C. Truong, A. Nicolaï, L. Gouzer, B. Morisset, F. Bertin-Hugault, D. Ricard, F. Quijoux

Experimental Gerontology - 2026

Differential Geometry

Aligning the Unseen in Attributed Graphs: Interplay between Graph Geometry and Node Attributes Manifold

The standard approach to representation learning on attributed graphs---i.e., simultaneously reconstructing node attributes and graph structure---is geometrically flawed, as it merges two potentially incompatible metric spaces. This forces a…

Aldric Labarthe, Roland Bouffanais, Julien Randon-Furling

Computer Science

Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints

As acquiring reliable ground-truth labels is usually costly, or infeasible, crowdsourcing and aggregation of noisy human annotations is the typical resort. Aggregating subjective labels, though, may amplify individual biases, particularly regarding…

Gabriel Singer, Samuel Gruffaz, Olivier Vo Van, Nicolas Vayatis, Argyris Kalogeratos

Mathematics

Microscopic derivation of a one-dimensional lubrication model including rough repulsive layers

We derive a hydrodynamic model for the motion of inertial particles with a spherical hard core, inter- acting through lubrication forces and pairwise repulsive forces. The repulsion arises from the assumption that each particle is surrounded by a…

Aline Lefebvre-Lepot, Muhammed Ali Mehmood, Charlotte Perrin, Ewelina Zatorska

Computer Vision and Pattern Recognition

Diachronic Stereo Matching for Multi-Date Satellite Imagery

Recent advances in image-based satellite 3D reconstruction have progressed along two complementary directions. On one hand, multi-date approaches using NeRF or Gaussian-splatting jointly model appearance and geometry across many acquisitions,…

Elías Masquil, Luca Savant Aira, Roger Marí, Thibaud Ehret, Pablo Musé, Gabriele Facciolo

ISPRS congress - 2026

Statistics Theory

On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers

There is substantial empirical evidence about the success of dynamic implementations of Hamiltonian Monte Carlo (HMC), such as the No U-Turn Sampler (NUTS), in many challenging inference problems but theoretical results about their behavior are…

Alain Durmus, Samuel Gruffaz, Miika Kailas, Eero Saksman, Matti Vihola

The Annals of Applied Probability - 2026

Machine Learning

Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone

Image-based localization in GNSS-denied environments is critical for UAV autonomy. Existing state-of-the-art approaches rely on matching UAV images to geo-referenced satellite images; however, they typically require large-scale, paired UAV-satellite…

Tristan Amadei, Enric Meinhardt-Llopis, Benedicte Bascle, Corentin Abgrall, Gabriele Facciolo

2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) - 2026