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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 61 à 70 sur 1464 au total

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 -

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 -

Engineering Sciences

MQAD-net: multi-modal quantum-attentive deep learning framework for early mental health detection and personalized therapy recommendation

Mental health issues are a major global concern that not only affect millions of people but also create significant societal and economic costs. Traditional ways of diagnosing mental health problems are usually based on the opinions of experts, thus…

Khalil Hamdi Ateyeh Al-Shqeerat, Ahmad Hamed Al Abadleh, Sunil Kumar Sharma, Pankaj Kumar, Ghanshyam G Tejani, David Bassir

Egyptian Informatics Journal -

Machine Learning

Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance

In this paper, we consider the problem of computing the integral of a function on the unit sphere, in any dimension, using Monte Carlo methods. Although the methods we present are general, our guiding thread is the sliced Wasserstein distance…

Vladimir Petrovic, Rémi Bardenet, Agnès Desolneux

Transactions on Machine Learning Research Journal -

Machine Learning

Cascaded Transfer: Learning Many Tasks under Budget Constraints

In distributed applications, such as energy demand forecasting at the substation level or federated learning, a large number of related tasks must be learned by different models, while the exact task relationships are unknown. We propose the novel…

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Mathilde Mougeot, Argyris Kalogeratos

Santé publique et épidémiologie

Psychosocial work factors and subsequent mental health service use: a prospective study using the national ESPS survey in France

The objective was to study the prospective associations between psychosocial work factors and mental health service use. The study used data from the national French periodical ESPS survey collected in 2010, 2012, and 2014 and linked to the national…

Isabelle Niedhammer, Maël Quatrevaux, Sandrine Bertrais

European Journal of Public Health -

Cardiology and cardiovascular system

Localization of arrhythmogenic sites in post-ischemic ventricular tachycardia using Network Granger Causality

Detecting abnormal electrical wave propagation in Sinus Rhythm (SR) in patient with Ventricular Tachycardia (VT) can enhance treatment strategies. However, traditional methods, like activation maps, often produce biased results due to the difficulty…

Lucas Zoroddu, Pierre Humbert, Laurent Oudre, Thomas Demarcy, Laurent Launay, Francis Bessière

47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025) -

Signal and Image processing

SPOP: Time Series Compression with Quadratic Splines

Time series compression is an important topic, enabling long signals to be represented in a small number of parameters while denoising. Change-point detection methods offer a relevant framework for tackling this task. In this paper, we propose a new…

Nicolás Enrique Cecchi, Vincent Runge, Charles Truong, Laurent Oudre

2025 33rd European Signal Processing Conference (EUSIPCO 2025) -