Benchmarking generative models for density estimation, and also exploring performance on OOD data and real-world high-dimensional datasets. Particular focus on how to recover good density estimates from diffusion models
Todo:
- https://arxiv.org/pdf/2002.02428.pdf
- https://arxiv.org/pdf/1908.09257.pdf
- CNFs such as FFJORD https://github.com/rtqichen/ffjord and https://www.youtube.com/watch?v=_ALdCSSVYkw&ab_channel=BayesGroup.ru and https://docs.sciml.ai/DiffEqFlux/dev/layers/CNFLayer/
- Anomaly detection and OOD data and validity of using densities: https://arxiv.org/pdf/2012.03808.pdf and https://proceedings.neurips.cc/paper/2020/file/ecb9fe2fbb99c31f567e9823e884dbec-Paper.pdf