no code implementations • 19 Jul 2020 • Félix Foutel-Rodier, François Blanquart, Philibert Courau, Peter Czuppon, Jean-Jil Duchamps, Jasmine Gamblin, Élise Kerdoncuff, Rob Kulathinal, Léo Régnier, Laura Vuduc, Amaury Lambert, Emmanuel Schertzer
We present a unifying, tractable approach for studying the spread of viruses causing complex diseases requiring to be modeled using a large number of types (e. g., infective stage, clinical state, risk factor class).
no code implementations • 26 Apr 2021 • Clément Dombry, Jean-Jil Duchamps
We define infinitesimal gradient boosting as a limit of the popular tree-based gradient boosting algorithm from machine learning.
no code implementations • 3 Oct 2022 • Clement Dombry, Jean-Jil Duchamps
It is characterized as the solution of a nonlinear ordinary differential equation in a infinite-dimensional function space where the infinitesimal boosting operator driving the dynamics depends on the training sample.
