Chang Feng

Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates

Invertible neural networks based on Coupling Flows (CFlows) have various applications such as image synthesis and data compression. The approximation universality for CFlows is of paramount importance to ensure the model expressiveness. In this paper, we prove that CFlows}can approximate any diffeom…