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.
The expected residual at stepm+ 1is taken over the true data distributionp ⋆ 0(x, y): E[rm+1] =E (x,y)∼p⋆ 0[y−F m(x)]
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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.