26 citations · 40 across the 14 of their papers we have counts for
3 papers · 1 filter
Explaining Machine Learning Models using Entropic Variable Projection
François Bachoc, Fabrice Gamboa, Max Halford +2
In this paper, we present a new explainability formalism designed to shed light on how each input variable of a test set impacts the predictions of machine learning models. Hence,…
COREclust: a new package for a robust and scalable analysis of complex data
Camille Champion, Anne-Claire Brunet, Jean-Michel Loubes +1
In this paper, we present a new R package COREclust dedicated to the detection of representative variables in high dimensional spaces with a potentially limited number of observati…
Online Barycenter Estimation of Large Weighted Graphs
Ioana Gavra, Laurent Risser
In this paper, we propose a new method to compute the barycenter of large weighted graphs endowed with probability measures on their nodes. We suppose that the edge weights are dis…