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
Published in:	Algorithms Vol. 16; no. 2; p. 121
Main Authors:	Wu, Jinhong, Plataniotis, Konstantinos, Liu, Lucy, Amjadian, Ehsan, Lawryshyn, Yuri
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.02.2023
Subjects:	Analysis Banking industry Datasets Deep learning feature importance feature interaction financial synthetic tabular data interpretability Privacy Privacy, Right of Sensitivity analysis sensitivity-based method Software Statistical methods Tables (data) variational autoencoder Visualization Canada
ISSN:	1999-4893, 1999-4893
Online Access:	Get full text
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