NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows

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NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows

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
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