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Publications

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

Affichage des publications 1001 à 1010 sur 1126 au total

Computer Science

Taming Nuclear Complexity with a Committee of Multilayer Neural Networks

We demonstrate that a committee of deep neural networks is capable of predicting the ground-state and excited energies of more than 1800 atomic nuclei with an accuracy akin to the one achieved by state-of-the-art nuclear energy density functionals …

Raphaël-David Lasseri, David Regnier, Jean-Paul Ebran, Antonin Penon

Physical Review Letters -

Computer Vision and Pattern Recognition

Robust estimation of local affine maps and its applications to image matching

The classic approach to image matching consists in the detection, description and matching of keypoints. This defines a zero-order approximation of the mapping between two images, determined by corresponding point coordinates. But the patches around…

Mariano Rodríguez, Gabriele Facciolo, Rafael Grompone von Gioi, Pablo Musé, Julie Delon

Winter Conference on Applications of Computer Vision (WACV ’20) -

Medical Imaging

Fidelity metrics between curves and surfaces: currents, varifolds, and normal cycles

This chapter provides an overview of some mathematical and computational models that have been proposed over the past few years for defining data attachment terms on shape spaces of curves or surfaces. In all these models shapes are seen as elements…

Nicolas Charon, Benjamin Charlier, Joan Glaunès, Pietro Gori, Pierre Roussillon

Riemannian Geometric Statistics in Medical Image Analysis -

Machine Learning

An adaptive stochastic optimization algorithm for resource allocation

We consider the classical problem of sequential resource allocation where a decision maker must repeatedly divide a budget between several resources, each with diminishing returns. This can be recast as a specific stochastic optimization problem…

Xavier Fontaine, Shie Mannor, Vianney Perchet

The 31st International Conference on Algorithmic Learning Theory -

Analysis of PDEs

An elementary approach to uniform in time propagation of chaos

Based on a coupling approach, we prove uniform in time propagation of chaos for weakly interacting mean-field particle systems with possibly non-convex confinement and interaction potentials. The approach is based on a combination of reflection and…

Alain Durmus, Andreas Eberle, Arnaud Guillin, Raphael Zimmer

Proceedings of the American Mathematical Society -

Statistics

Redundancy in Gaussian random fields

We introduce and study a notion of spatial redundancy in Gaussian random fields. we define similarity functions with some properties and give insight about their statistical properties in the context of image processing. We compute these similarity…

Valentin de Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire

ESAIM: Probability and Statistics -