Supplementary Material for: The Convolution Exponential and Generalized Sylvester Flows
–Neural Information Processing Systems
The inverse of Sylvester flows can be easily computed using a fixed point iteration. The setup is identical to section C.1, where a single subflow is now either a residual block or a convolutional Sylvester flow transformation, with a leading actnorm layer [ Results are obtained by running models a single after random weight initialization. Additionally, the gated convolutions are replaced by denseblock layers.
Neural Information Processing Systems
Feb-10-2026, 13:29:51 GMT
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