Consulter le flux RSS

Publications

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

Affichage des publications 1321 à 1330 sur 1468 au total

Artificial Intelligence

A FUNCTIONAL EQUATION WITH POLYNOMIAL SOLUTIONS AND APPLICATION TO NEURAL NETWORKS

We construct and discuss a functional equation with contraction property. The solutions are real univariate polynomials. The series solving the natural fixed point iterations have immediate interpretation in terms of Neural Networks with recursive…

Bruno Després, Matthieu Ancellin

Comptes Rendus. Mathématique -

Distributed, Parallel, and Cluster Computing

SPAWN: An Iterative, Potentials-Based, Dynamic Scheduling and Partitioning Tool

Many applications of physics modeling use regular meshes on whichcomputations of highly variable cost over time can occur. Distributing the un-derlying cells over manycore architectures is a critical load balancing step thatshould be performed the…

Jean-Charles Papin, Christophe Denoual, Laurent Colombet, Raymond Namyst

International Journal of Parallel Programming -

Human health and pathology

Biopsychosocial determinants of visuospatial memory performance according to different spaces

Visuospatial memory (VSM) performance depends on intrinsic (biopsychosocial parameters) and extrinsic (space) factors. We aimed at characterizing the determinants of VSM performance according to space. Young healthy adults, 20 males and 41 females …

L. Bherer, M. Gallou-Guyot, S. Mandigout, J. Lacroix, D. Ricard, S. Buffat, D. Archambeau, G. Guéguin, A. Perrochon

Neuroscience Research -

Functional Analysis

A characterization of proximity operators

We characterize proximity operators, that is to say functions that map a vector to a solution of a penalized least squares optimization problem. Proximity operators of convex penalties have been widely studied and fully characterized by Moreau. They…

Rémi Gribonval, Mila Nikolova

Journal of Mathematical Imaging and Vision -

Statistics Theory

Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimation

Stochastic approximation methods play a central role in maximum likelihood estimation problems involving intractable likelihood functions, such as marginal likelihoods arising in problems with missing or incomplete data, and in parametric empirical…

Valentin de Bortoli, Alain Durmus, Marcelo Pereyra, Ana Fernandez Vidal

Statistics and Computing -

Analysis of PDEs

Paralinearization of the Muskat Equation and Application to the Cauchy Problem

We paralinearize the Muskat equation to extract an explicit parabolic evolution equation having a compact form. This result is applied to give a simple proof of the local well-posedness of the Cauchy problem for rough initial data, in homogeneous…

Thomas Alazard, Omar Lazar

Archive for Rational Mechanics and Analysis -