Generative Modeling¶
What this subject is for: How to draw a sample from a distribution you don't know — autoregressive, VAEs, GANs, diffusion, score matching, flow matching, optimal transport, energy-based models.
Track status: 7 substantive concept pages. See the live generation status and the latest retrospective.
Concepts¶
- Consistency Models
- Diffusion Models
- Flow matching
- Generative Adversarial Networks
- Latent Diffusion Models
- Score matching
- Variational Autoencoders
Arcs through this subject¶
No arcs yet — the retrospective proposes these once concept coverage hits ≥4 pages per track.
Key thinkers¶
Author pages pending.
Builds tied to this subject¶
MVB recipes pending — currently they live inside concept pages' Build it sections.
Auto-rebuilt from filesystem state by scripts/rebuild_track_indexes.py — see system architecture.