Search Results for author:
Found 1 papers, 0 papers with code
A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation
In this paper, we develop a deep learning framework to compute the geodesics under the spherical WFR metric, and the learned geodesics can be adopted to generate weighted samples.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
