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CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices

arXiv — cs.LG•Monday, November 3, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices

A recent paper introduces CDFlow, a new approach to building invertible layers using circulant and diagonal matrices. This innovation addresses a significant challenge in deep generative models, which is to enhance expressiveness while keeping computations efficient. By reducing parameter complexity, CDFlow could lead to more effective likelihood estimation and sampling in machine learning applications, making it a noteworthy advancement in the field.
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