Goodness-of-fit testing on MNIST (test)
1Rejection RateNP-KSD_m
Evaluation Results
| Method | Links | |
|---|---|---|
| NP-KSD_mGenerative Model=Real, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 1 | |
| NP-KSDGenerative Model=Real, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 3 | |
| MMDAggGenerative Model=Real, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 6 | |
| MMDAggGenerative Model=DCGAN, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 73 | |
| NP-KSDGenerative Model=DCGAN, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 92 | |
| MMDAggGenerative Model=VAE, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 93 | |
| NP-KSDGenerative Model=GAN_MLP, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 | |
| NP-KSDGenerative Model=VAE, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 | |
| NP-KSDGenerative Model=NCSN, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 | |
| NP-KSD_mGenerative Model=GAN_MLP, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 | |
| NP-KSD_mGenerative Model=DCGAN, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 | |
| NP-KSD_mGenerative Model=VAE, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 | |
| NP-KSD_mGenerative Model=NCSN, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 | |
| MMDAggGenerative Model=GAN_MLP, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 | |
| MMDAggGenerative Model=NCSN, alpha=0.05, Generated samples=600, Test samples=1002022.05 | 100 |