normalizing flow model
C55491
concept
A normalizing flow model is a generative model that transforms a simple base distribution into a complex target distribution through a sequence of invertible, differentiable mappings with tractable Jacobian determinants.
All labels observed (1)
| Label | Occurrences |
|---|---|
| normalizing flow model canonical | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: normalizing flow model
Generated description
A normalizing flow model is a generative model that transforms a simple base distribution into a complex target distribution through a sequence of invertible, differentiable mappings with tractable Jacobian determinants.
Instances (1)
| Instance | Via concept surface |
|---|---|
| Glow | — |