Generative Correlation Manifolds: Generating Synthetic Data with Preserved Higher-Order Correlations

Jens E. d'Hondt, Wieger R. Punter, Odysseas Papapetrou

The increasing need for data privacy and the demand for robust machine learning models have fueled the development of synthetic data generation techniques. However, current methods…