191 citations · 448 across the 18 of their papers we have counts for
3 papers · 1 filter
Time and State Dependent Neural Delay Differential Equations
Thibault Monsel, Onofrio Semeraro, Lionel Mathelin +1
Discontinuities and delayed terms are encountered in the governing equations of a large class of problems ranging from physics and engineering to medicine and economics. These syst…
An Implicit GNN Solver for Poisson-like problems
Matthieu Nastorg, Michele Alessandro Bucci, Thibault Faney +3
This paper presents -GNN, a novel Graph Neural Network (GNN) approach for solving the ubiquitous Poisson PDE problems with mixed boundary conditions. By leveraging the Implicit…
Designing losses for data-free training of normalizing flows on Boltzmann distributions
Loris Felardos, Jérôme Hénin, Guillaume Charpiat
Generating a Boltzmann distribution in high dimension has recently been achieved with Normalizing Flows, which enable fast and exact computation of the generated density, and thus…