Deep Generative Models for Synthetic Data: A Survey

Deep Generative Models for Synthetic Data: A Survey

A growing interest in synthetic data has stimulated the development and advancement of a large variety of deep generative models for a wide range of applications. However, as this research has progressed, its streams have become more specialized and disconnected from one another. This is why models...

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Bibliographic Details
Main Authors: Peter Eigenschink, Thomas Reutterer, Stefan Vamosi, Ralf Vamosi, Chang Sun, Klaudius Kalcher
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
big data
deep learning
generative models
neural networks
synthetic data
Online Access:https://ieeexplore.ieee.org/document/10122524/

Internet

https://ieeexplore.ieee.org/document/10122524/

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