output
20102026
most citedRegularity dependence of the rate of convergence of the learning curve for Gaussian process regression

3 citations

12 papers

math.DG2026

A Framework for Joint Affine and Diffeomorphic Image Registration

Anton François, Rayane Mouhli, Thomas Pierron

Anatomical image registration commonly relies on a sequential pipeline where an affine alignment is estimated first and then held fixed while a non-rigid diffeomorphic deformation…

math.DG2026

A Varifold-Based Score for Decoupling Deformations in Shape Analysis

Rayane Mouhli, Barbara Gris, Irène Kaltenmark

In computational anatomy, analyzing morphological variability across shape populations often requires multi-component deformation models that combine structured motions and unconst…

cond-mat.soft2026★ 1 cited

Dissolution of a two-component drop onto macrophase due to surface tension effect

Alexey Kabalnov

Additives of sparingly soluble components are known to slow down or completely inhibit Ostwald ripening in dispersed systems. In this paper series, our earlier model of the stabili…

cond-mat.soft2026

Micellar effects on Ostwald ripening in emulsions: Transition from cubic to quadratic particle size growth

Alexey Kabalnov

Ostwald ripening in O/W emulsions in presence of solubilizing micelles is theoretically studied. At small average sizes, the kinetics is predicted to follow the classical Lifshits-…

math.AP2026

Convergence speed for the average density of eigenfunctions for singular Riemannian manifolds

Charlotte Dietze

We consider a class of singular Riemannian metrics on a compact Riemannian manifold with boundary and the eigenfunctions of the corresponding Laplace-Beltrami operator. In our sett…

math.AP2025

Stability of non-conservative cross diffusion model and approximation by stochastic particle systems

Vincent Bansaye, Alexandre Bertolino, Ayman Moussa

We study the stability of non-conservative deterministic cross diffusion models and prove that they are approximated by stochastic population models when the populations become loc…

math.AP2024

Indirect stabilization of semilinear coupled wave systems

Radhia Ayechi, Moez Khenissi, Camille Laurent

In this paper, we study the indirect stabilization problem for a system of two coupled semilinear wave equations with internal damping in a bounded domain in . The no…

physics.bio-ph2023★ 1 cited

Design of a millifluidic device for the evaluation of blue-light disinfection on Pseudomonas aeruginosa PA01 biofilm

Nidia Maldonado Carmona, Murielle Balthazar, Joanne L Fothergill +1

Significance: For the first time to our knowledge, a millifluidic device has been designed to observe the effects of blue-light irradiation in Pseudomonas aeruginosa PA01 bacterial…

math.OC2022

A simple city equilibrium model with an application to teleworking

Yves Achdou, Guillaume Carlier, Quentin Petit +1

We propose a simple semi-discrete spatial model where rents, wages and the density of population in a city can be deduced from free-mobility and equilibrium conditions on the labou…

math.AP2020

Mean Field Games with monotonous interactions through the law of states and controls of the agents

Z Kobeissi

We consider a class of Mean Field Games in which the agents may interact through the statistical distribution of their states and controls. It is supposed that the Hamiltonian beha…

math.ST2012★ 3 cited

Regularity dependence of the rate of convergence of the learning curve for Gaussian process regression

Loic Le Gratiet, Josselin Garnier

This paper deals with the speed of convergence of the learning curve in a Gaussian process regression framework. The learning curve describes the average generalization error of th…

math.AP2010

Perturbative numeric approach in microwave imaging

Anna Rozanova-Pierrat

In this paper, we show that using measurements for different frequencies, and using ultrasound localized perturbations it is possible to extend the method of the imaging by elastic…