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.
By doing so, it produces a new modelS m+1 whose law now correctly matches the ideal law on the tail-fieldF ≥tm+1
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.