💡 To those interested in drifting models: valuable ideas can sometimes be overlooked in the fast-moving literature.
Romann Weber’s Score-Difference Flow (TMLR’23) already contains several important ingredients closely related to drifting models, including kernel-based attractive–repulsive transport and a transport-then-projection training view.
We updated Sec. 5.1 of our USD paper, A Unified View of Score-Based and Drifting Models, to make this connection explicit and give proper visibility to this earlier work (see also Score-Diff's Sec. D.2).