Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows

Nicolaj Rux, Michael Quellmalz, Gabriele Steidl

Negative distance kernels $K(x,y):=-\Vert x-y\Vert$ were used in the definition of maximum mean discrepancies (MMDs) in statistics and lead to favorable numerical results in various ap…