"Deep Generative Models for Synthetic Data: A Survey."

Peter Eigenschink et al. (2023)

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DOI: 10.1109/ACCESS.2023.3275134

access: open

type: Journal Article

metadata version: 2023-06-15

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Peter Eigenschink, Thomas Reutterer, Stefan Vamosi, Ralf Vamosi, Chang Sun, Klaudius Kalcher:
Deep Generative Models for Synthetic Data: A Survey. IEEE Access 11: 47304-47320 (2023)

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