This repo contains the code for the paper Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows (NeurIPS 2021). See the experiments folder for usage.
This code is derived from the nflows repo:
Conor Durkan, Artur Bekasov, Iain Murray, & George Papamakarios. (2020). nflows: normalizing flows in PyTorch (v0.14). Zenodo. https://doi.org/10.5281/zenodo.4296287
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes Supplementary materials for ISMIR 2021 LBD submission: K. N. W
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