XUCHEN FENG

CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices

Normalizing flows are deep generative models that achieve efficient likelihood estimation and sampling through invertible transformations. A key challenge is designing linear layers that enhance expressiveness while enabling efficient computation of the Jacobian determinant and inverse. In this work…