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- Institut Camille JordanFR209 papers
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6 papers · 1 filter
Mathematical Modeling of Cell Collective Motion Triggered By Self-Generated Gradients
Mete Demircigil, Vincent Calvez, Roxana Sublet
Self-generated gradients have atttracted a lot of attention in the recent biological literature. It is considered as a robust strategy for a group of cells to find its way during a…
Constrained Optimal Smoothing and Bayesian Estimation
X Bay, Laurence Grammont
In this paper, we extend the correspondence between Bayesian estimation and optimal smoothing in a Reproducing Kernel Hilbert Space (RKHS) adding a convexe constraints on the solut…
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
Quentin Merigot, Filippo Santambrogio, Clément Sarrazin
Several issues in machine learning and inverse problems require to generate discrete data, as if sampled from a model probability distribution. A common way to do so relies on the…
Relaxation limit of the aggregation equation with pointy potential
Benoît Fabrèges, Frédéric Lagoutière, Tran Tien +1
This work is devoted to the study of a relaxation limit of the so-called aggregation equation with a pointy potential in one dimensional space. The aggregation equation is by now w…
Stein kernels for -moment measures and new bounds for the rate of convergence in the central limit theorem
Huynh Khanh, Filippo Santambrogio, Doan Thai Son
Given an isotropic probability measure on with , where and $\v…
Annihilation of slowly-decaying terms of Navier-Stokes flows by external forcing
Lorenzo Brandolese, Takahiro Okabe
The goal of this paper is to provide an algorithm that, for any sufficiently localised, divergence-free small initial data, explicitly constructs a localised external force leading…