arXiv stat.ML
· Papers
Identifiability and Stability of Generative Drifting in the Companion-Elliptic Kernel Family
arXiv:2604.24196v4 Announce Type: replace Abstract: A drifting model is a one-step generator trained by moving each sample along a field of kernel-weighted attraction toward data samples and repulsion between model samples; training halts once this field vanishes. The soundness of this scheme rests on two questions: wh