What is Wasserstein distance used for in model evaluation?

Wasserstein distance measures the optimal transport cost between two distributions.

Wasserstein distance (Earth Mover’s Distance) quantifies how much 'work' is required to transform one distribution into another. It is more stable than KL divergence when distributions do not overlap. It is widely used in GAN evaluation (WGAN), distribution shift detection, and generative model quality assessment.