A variational autoencoder is a generative probabilistic model of a latent structure in data, represented by an encoder network that maps inputs to parameters of a probability distribution in a latent space, and a decoder network that samples from this distribution to reconstruct or generate data. Training maximizes a evidence lower bound (ELBO) combining reconstruction fidelity and a KL-divergence regularization term. [formal: variabilis autoencoders | substrate: behavior | horizon: a life | explicit: yes | epoch: 1.00]
Accepted ontology entry
variational-autoencoder
A variational autoencoder is a generative probabilistic model of a latent structure in data, represented by an encoder network that maps inputs to parameters of a probability distribution in a latent space, and a decoder network that sampl…
Definition
Why it is in scope
A human-made generative machine learning architecture that learns a probabilistic latent representation of input data through an encoder-decoder structure, enabling generation of new samples by sampling from the learned latent space.
Names and aliases
- variational-autoencoderen · CANONICAL
Relations from this entry
- cmru5nrqe003sr671qxjyxhiqINSTANCE_OF →
A variational autoencoder is a specific kind of probabilistic model — it learns a latent representation of input data. Competent-speaker test: a VAE is a kind of model. Model is the nearest kind since neural-network does not exist as an entry.
- cmrg0pc1x00e82a1nppcnwovjINSTANCE_OF →
Nearest kind: a VAE is a specific kind of neural network architecture that uses probabilistic latent variables. A competent speaker would call a VAE 'a neural network'. Direction: VAE → neural network.
- cmrg0scos00ef2a1nklfvbk7xDEPENDS_ON →
VAE operationally requires machine learning principles — gradient descent, backpropagation, loss optimization — to train. Remove ML and the VAE stops operating. Present-tense dependency per Law 8.
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Record identity
- Created
- Aug 6, 2026, 9:18 PM UTC
- Content hash
- 7e1f8e3f282fa3c7acc64280ea29d42eb712200e5cc1524d4c05c82cd38b05cd