output
20042025
most citedCorrelation and variable importance in random forests

1.1k citations

171 papers

math.PR2025

On the contraction properties of Sinkhorn semigroups

O. Deniz Akyildiz, Pierre del Moral, Joaquin Miguez

We develop a novel stability theory for Sinkhorn semigroups based on Lyapunov techniques and quantitative contraction coefficients, and establish exponential convergence of Sinkhor…

math.DS2025

New probabilistic methods for physics

Guy Cirier

We present how a probabilistic model can describe the asymptotic behavior of the iterations, with applications for ODE and approach of some problems in mechanics in .

math.DS2022

A probabilistic approach of the Poincar{é}-Bendixon's problem in

Guy Cirier

We present how a probabilistic model can describe the asymptotic behaviour of the iterations, especially for ODE with an approach of the Poincaré-Bendixon's problem in $\mathbb{R}^…

stat.ML2020★ 45 cited

Interpretable Random Forests via Rule Extraction

Clément Bénard, Gérard Biau, Sébastien da Veiga +1

We introduce SIRUS (Stable and Interpretable RUle Set) for regression, a stable rule learning algorithm which takes the form of a short and simple list of rules. State-of-the-art l…

stat.AP2019

On choking and ingestion hazards for children in the United States

Frédéric Chabolle, Paul Deheuvels

The risks of Unintentional Suffocation injuries in the U.S. must be reconsidered in view of the existent mortality and morbidity statistics. In particular, fatal injuries due to th…

q-bio.NC2018

A geometrical analysis of global stability in trained feedback networks

Francesca Mastrogiuseppe, Srdjan Ostojic

Recurrent neural networks have been extensively studied in the context of neuroscience and machine learning due to their ability to implement complex computations. While substantia…