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AI · arxiv.org · Saturday, 25 July 2026

EFlows Enable Variable‑Size Generation with Expanding Flow Maps

The paper presents Expanding Generative Flows (EFlows), a framework that defines flows between distributions of growing dimensionality, allowing generative models to output variable‑size data. It also introduces Expanding Flow Maps, which pair an expand operator with a transport map for efficient few‑step generation of graphs and sequences.

Read the source: arxiv.org ↗In the 25 July issue →