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Variational Auto Encoder

Network AIO:VariationalAutoEncoder NOT_REVIEWED
An autoencoder network that imposes a probabilistic structure on the latent space for unsupervised learning.
Ontology IRI: https://w3id.org/aio/VariationalAutoEncoder

Ontology Structure & Relationships

Parent Classes
Branches
Network
Axiomatic Relationships

Annotations & Sources

Synonyms:
  • VAE exact
Subsets:
  • https://w3id.org/aio/NetworkSubset

Curated AIMech Concepts Grounded to this Class

1 Concept
Curated Concept Kind Mapping Relation Rationale
Variational Fair Autoencoder
AIMech:VariationalFairAutoencoder
 Architectures related_match Uses variational autoencoding with additional sensitive-variable conditioning, a supervised component and MMD regularization. Because the pinned target definition specifies unsupervised learning, this mapping records the architectural relationship without asserting an unqualified subclass relation.

Import Provenance & Upstream Synchronization

Source Repo: AIO GitHub
Release Version: aio.json
Commit: 397851c547…
License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256: 8f741d71408c…
Source File: data/aio/VariationalAutoEncoder.yaml