8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2025
SVarM: Linear Support Varifold Machines for Classification and Regression on Geometric Data
Emmanuel Hartman, Nicolas Charon
Despite progress in the rapidly developing field of geometric deep learning, performing statistical analysis on geometric data--where each observation is a shape such as a curve, g…
cs.LG2024
Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations
Zan Ahmad, Shiyi Chen, Minglang Yin +4
A computed approximation of the solution operator to a system of partial differential equations (PDEs) is needed in various areas of science and engineering. Neural operators have…
cs.LG2024★ 8 cited
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains
Minglang Yin, Nicolas Charon, Ryan Brody +3
The solution of a PDE over varying initial/boundary conditions on multiple domains is needed in a wide variety of applications, but it is computationally expensive if the solution…