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.
Therefore, the expected residual is anasymptotically unbiased estimatorof the integrated score error, with the bias vanishing asN→ ∞andD KL(p∗ 0∥pm,0)→0
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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.