kernel-density-estimator-kde--44853903·1 events·first seen Aliases: Kernel Density Estimator (KDE)
This paper proposes and analyzes a conservative drifting method for one-step generative modeling, replacing displacement-based velocity with a kernel density estimator (KDE)-gradient velocity. The authors prove continuous-time finite-particle convergence bounds and derive explicit rates depending on bandwidth and dimensionality.