How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data.
Mihaela Catalina StoianSalijona DyrmishiMaxime CordyThomas LukasiewiczEleonora GiunchigliaPublished in: CoRR (2024)
Keyphrases
- synthetic data
- generative model
- tabular data
- real world
- probabilistic model
- cell suppression
- discriminative models
- controlled tabular adjustment
- deep belief networks
- real image data
- discriminative learning
- hierarchical hidden markov models
- data sets
- prior knowledge
- em algorithm
- differential privacy
- semi supervised
- conditional random fields
- object categories
- deep learning
- data mining
- unsupervised learning
- supervised learning
- learning algorithm