Normalizing Flows: An Introduction and Review of Current Methods

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#machine learning #normalizing flow

To generate complicated distributions step by step from a simple and interpretable distribution.

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References:
  1. Kobyzev, I., Prince, S., & Brubaker, M. (2020). Normalizing Flows: An Introduction and Review of Current Methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1.
Dynamic Backlinks:
Generative Model: Normalizing Flow
Normalizing flow is a method to convert a complicated distribution $p(x)$ to a simpler distribution …
Links to:
Latent Variable Models
Latent variable models brings us new insights on identifying the patterns of some sample data.
Tensor Factorization
A generalization of matrix factorization

L Ma (2021). 'Normalizing Flows: An Introduction and Review of Current Methods', Datumorphism, 01 April. Available at: https://datumorphism.leima.is/reading/normalizing-flow-introduction-1908.09257/.