Synthetic Data Generation on Sines (test)
0.002MMDAugmented TimeGAN
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Augmented TimeGANepochs=7000, layers=3, latent_dim=24, noise_sd=0.22025.11 | 0.002 | 0.089 | 95.1 | 96.3 | 54.9 | |
| TransFusionepochs=7000, layers=3, latent_dim=24, noise_sd=0.22025.11 | 0.007 | 0.257 | 86.2 | 86.5 | 54 | |
| DP-TimeGANepochs=7000, layers=3, latent_dim=24, noise_sd=0.2, epsilon=15, delta=10^-52025.11 | 0.01 | 0.213 | 92.9 | 91.8 | 58.3 | |
| SeriesGANepochs=7000, layers=3, latent_dim=24, noise_sd=0.22025.11 | 0.016 | 0.203 | 80.7 | 79.9 | 53.7 | |
| TimeDiffepochs=7000, layers=3, latent_dim=24, noise_sd=0.22025.11 | 0.018 | 0.27 | 65.7 | 54.9 | 57.6 | |
| DP Normalizing Flowsepochs=7000, layers=3, latent_dim=24, noise_sd=0.2, epsilon=15, delta=10^-52025.11 | 0.02 | 0.105 | 60.2 | 50.6 | 59.8 |