Generative models · MLD-0463
Generative model
A model that represents or learns a data-generating distribution, allowing sampling, likelihood modeling, or both.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Generate new images with similar statistical structure to training data.
Original caveat
Generation quality and explicit likelihood evaluation are separate capabilities.
Context and aliases
Level: Foundational. 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 ↗