Research map / Probabilistic and scientific modeling / Variational and generative sampling
Unsupervised Anomaly Detection by Robust Density Estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Discard low-density training examples and apply spectral normalization | Real NVP · ODDS (16 datasets) | average rank: 4.375 -> 2.937 | Helped |
| Discard low-density training examples and apply spectral normalization | Real NVP · CIFAR10 (20 settings) | AUC | Helped |
| Add spectral normalization (ablation) | TrimRealNVP · ODDS (16 datasets) | AUC | Mixed |
| Add spectral normalization (ablation) | TrimRealNVP · synthetic clustered anomalies | density estimation robustness | Helped |
| Add spectral normalization (ablation) | TrimRealNVP · synthetic uniform anomalies | density estimation robustness | No clear effect |
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