We introduce an invertible Wasserstein slicing map that embeds multivariate distributions into a Hilbert space, enabling functional data analysis with theoretical guarantees and application to real-world data.

A discretization-invariant, angle-aware Radon Neural Operator for PDE solving that achieves state-of-the-art performance.