Ouail Kitouni
Ouail Kitouni
Home
Posts
Publications
Contact
Light
Dark
Automatic
Particle Physics
NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance
NEEMo is a technique to fit arbitrary geometries to an arbitrary collection of points. Much like WGANs, it relies on the neural estimation of the Wasserstein metric through the KR dual formulation.
Cite
×