3 papers
cs.NE2026
Quantifying Uncertainty In Wide Two-Layer Neural Networks: On The Law Of The Limiting Fluctuation Process
Arnaud Descours, Arnaud Guillin, Geoffrey Lacour +3
Uncertainty quantification in neural networks prediction is a main issue for usual applications. Our approach seeks at reducing computation costs by directly evaluating uncertainty…
math.NA2026
Multi-patient Inverse Estimation of Effective Membrane Diffusion Coefficients in Calcium-Citrate Hemodialysis
Geoffrey Lacour, Nicolae Cîndea, Julien Aniort
We propose a multi-patient inverse modeling framework for identifying effective calcium and citrate diffusion coefficients in hollow-fiber hemodialysis devices. The approach relies…
math.AP2024
Variational inequality solutions and finite stopping time for a class of shear-thinning flows
Laurent Chupin, Nicolae Cîndea, Geoffrey Lacour
The aim of this paper is to study the existence of a finite stopping time for solutions in the form of variational inequality to fluid flows following a power law (or Ostwald-DeWae…