Flow Models
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Normalizing flows learn invertible transformations between a simple distribution (Gaussian) and the data distribution. Enable exact likelihood computation, unlike GANs and VAEs. Less widely used but theoretically elegant.
Related
- VAEs (approximate likelihood)
- Diffusion Models (connection to continuous normalizing flows)