Efficient Comparison of Gaussian Mixture Models via Gromov-Wasserstein-like Distances

The paper introduces two Gromov-Wasserstein-type distances, MGW2 and EW2, to efficiently compare Gaussian mixture models (GMMs) across different dimensions and invariant to isometries.