Flow Pocket trains an exactly invertible RealNVP density model on a curved
five-armed pinwheel distribution. Eight affine coupling layers transform data into
a standard Gaussian while tracking the exact change-of-variables log determinant.
The benchmark compares held-out negative log-likelihood and generated-sample MMD
against a fitted full-covariance Gaussian and a five-component Gaussian mixture.
It also measures forward/inverse cycle error to verify that the saved… See the full description on the dataset page:
https://huggingface.co/datasets/ARotting/pinwheel-density-benchmark.
