Generative models · MLD-0820
Normalizing flow
A generative model that transforms a simple distribution through invertible mappings with tractable density change.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Model a complex distribution while evaluating its likelihood.
Original caveat
Invertibility and Jacobian tractability constrain the architecture.
Context and aliases
Level: Advanced. Stages: Architecture · Training · Inference.
Tags: DL · Generative AI · Vision.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- Denoising Diffusion Probabilistic Models ↗ · Consulted
- Deep Learning: online textbook ↗ · Consulted
- Flow Matching for Generative Modeling ↗ · Consulted
- Auto-Encoding Variational Bayes ↗ · Consulted
- Original reference URL ↗