FoGS filters a pool of samples from four tabular generators using an ensemble of survival models to produce synthetic data that improves C-index by +2.17 and IBS by +0.67 on average across 16 datasets compared with unfiltered baselines.
Synthcity: a benchmark framework for diverse use cases of tabular synthetic data.Ad- vances in neural information processing systems, 36: 3173–3188, 2023
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A Filtered Mixture-of-Generators for Fully Synthetic Survival Training
FoGS filters a pool of samples from four tabular generators using an ensemble of survival models to produce synthetic data that improves C-index by +2.17 and IBS by +0.67 on average across 16 datasets compared with unfiltered baselines.