6https://sdv.dev/SDV/api_reference/tabular/ctgan.html. MIT License.
7https://sdv.dev/SDV/api_reference/tabular/tvae.html. MIT License.
8https://github.com/Team-TUD/CTAB-GAN-Plus
9https://github.com/leejaehoon2016/ITGAN. Samsung SDS Public License V1.0.
10https://github.com/EsmaeilpourMohammad/RccGAN

Watson, Blesch, Kapar, & Wright

Figure 4: Complexity curves. (A): Processing time as a function of sample size, using stratiﬁed subsamples of the adult
dataset. (B): Processing time as a function of dimensionality, using random features from the adult dataset.

Table 5: Performance on mnist datasets from the Xu et al. (2019) benchmark for CTGAN and TVAE vs. FORGE We report
average results across ﬁve replicates ± the associated standard error. Winning results in bold.

Dataset

mnist12
classes = 10
n = 70,000
d = 144

mnist28
classes = 10
n = 70,000
d = 784

Model

Oracle
FORGE
CTGAN
TVAE

Oracle
FORGE
CTGAN
TVAE
Adversarial Random Forests for Density Estimation and Generative Modeling