Article | REF: H5012 V1

Unsupervised statistical machine learning

Author: Bruno SAUVALLE

Publication date: January 10, 2020, Review date: January 18, 2021

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5. Generative models

A generative model is an algorithm that generates samples according to the same probability law as the data provided in the initial database, but without this probability law necessarily being explicitly described.

5.1 Variable autoencoders

We have seen how deep learning methods can be used to perform dimensionality reduction using auto-encoders by associating with each object x i in a very high-dimensional space a latent representation h i = f θ (x), where f θ is a neural network, and by optimizing the parameters θ of f θ and...

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Generative models