Complex normalizing flows can be information Kähler-Ricci flows
This work provides a novel theoretical bridge between normalizing flows and geometric flows, potentially offering new insights for generative modeling in complex manifolds, but remains largely theoretical without empirical validation.
The paper establishes a theoretical connection between complex normalizing flows and Kähler-Ricci flows, showing that the log determinant in complex normalizing flows corresponds to Ricci curvature, and that under a continuum limit, the log likelihood matches a Fisher metric, recovering the Kähler-Ricci flow up to expectation.
We develop interconnections between the complex normalizing flow for data drawn from Borel probability measures on the twofold realification of the complex manifold and the Kähler-Ricci flow. The complex normalizing flow relates the initial and target realified densities under the complex change of variables, necessitating the log determinant of the Wirtinger Jacobian. The Ricci curvature of a Kähler manifold is the second order mixed Wirtinger partial derivative of the log of the local density of the volume form. Therefore, we reconcile these two facts by drawing forth the connection that the log determinant used in the complex normalizing flow matches the Ricci curvature term under differentiation and conditions. The log density under the normalizing flow is kindred to a spatial Fisher information metric under a holomorphic pullback and a Bayesian perspective to the parameter, thus under the continuum limit the log likelihood matches a Fisher metric, recovering the Kähler-Ricci flow up to expectation. Using this framework, we establish other relevant results, attempting to bridge the statistical and ordinary behaviors of the complex normalizing flow to the geometric features of the Kähler-Ricci flow.