Decision trees and diffusion models are unified via a shared Global Trajectory Score Matching principle, yielding TreeFlow for tabular generation and DSMTree for distilling tree logic into networks.
Its task is to find an operatorR ⋆ m+1 that transitionsS ⋆ m to a modelS ⋆ m+1 ∈K ⋆ tm+1
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Trees to Flows and Back: Unifying Decision Trees and Diffusion Models
Decision trees and diffusion models are unified via a shared Global Trajectory Score Matching principle, yielding TreeFlow for tabular generation and DSMTree for distilling tree logic into networks.