Sébastien da Veiga

Learning signals defined on graphs with optimal transport and Gaussian process regression

2024 · arXiv (Cornell University)

In computational physics, machine learning has now emerged as a powerful complementary tool to explore efficiently candidate designs in engineering studies. Outputs in such supervised problems are signals defined on meshes, and a natural question …