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
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows WACV 2022 preprint:https://arxiv.org/abs/2107.1
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Stochastic Normalizing Flows We introduce stochasticity in Boltzmann-generating flows. Normalizing flows are exact-probability generative models that
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