A systematic framework modularizes tabular data disentanglement into data extraction, modeling, analysis, and latent extrapolation, with a case study on synthetic data generation.
Switchtab: Switched autoencoders are effective tabular learn- ers.Proceedings of the AAAI Conference on Artificial Intelligence, 38(14):15924– 15933, 2024
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A Systematic Framework for Tabular Data Disentanglement
A systematic framework modularizes tabular data disentanglement into data extraction, modeling, analysis, and latent extrapolation, with a case study on synthetic data generation.