Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data

Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data

Synthetic data, artificially generated by computer programs, has become more widely used in the financial domain to mitigate privacy concerns. Variational Autoencoder (VAE) is one of the most popular deep-learning models for generating synthetic data. However, VAE is often considered a “black box” d...

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Bibliographic Details
Main Authors: Jinhong Wu, Konstantinos Plataniotis, Lucy Liu, Ehsan Amjadian, Yuri Lawryshyn
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Algorithms
Subjects:
interpretability
variational autoencoder
financial synthetic tabular data
sensitivity-based method
feature importance
feature interaction
Online Access:https://www.mdpi.com/1999-4893/16/2/121

Internet

https://www.mdpi.com/1999-4893/16/2/121

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