Density Estimation on BSDS300 (test)
-157.73NLL (nats)MAF-DDSF
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MAF-DDSF2018.10 | -157.73 | — | |
| MAF-DDSF2018.10 | -157.73 | — | |
| FFJORD2018.10 | -157.4 | — | |
| FFJORD2018.10 | -157.4 | — | |
| FFJORDTraining Approach=Maximum Likelihood2020.07 | -157.4 | — | |
| RQ-NSF (AR)Training Approach=Maximum Likelihood2020.07 | -157.31 | — | |
| TAN2018.10 | -157.03 | — | |
| TAN2018.10 | -157.03 | — | |
| MAFTraining Approach=Maximum Likelihood2020.07 | -156.36 | — | |
| GISTraining Approach=Iterative2020.07 | -155.75 | — | |
| MAF2018.10 | -155.69 | — | |
| MAF2018.10 | -155.69 | — | |
| Glow2018.10 | -155.07 | — | |
| Glow2018.10 | -155.07 | — | |
| GlowTraining Approach=Maximum Likelihood2020.07 | -155.07 | — | |
| Real NVP2018.10 | -153.28 | — | |
| Real NVP2018.10 | -153.28 | — | |
| Real NVPTraining Approach=Maximum Likelihood2020.07 | -153.28 | — | |
| GFTraining Approach=Maximum Likelihood2020.07 | -152.82 | — | |
| MADE2018.10 | -148.85 | — | |
| MADE2018.10 | -148.85 | — | |
| RBIGTraining Approach=Iterative2020.07 | -115.96 | — | |
| FMLP2022.05 | 144.22 | — | |
| GLOW2022.05 | 156.96 | — | |
| NSF2022.05 | 157.61 | — | |
| B-NAFstacked flows=52019.04 | — | 157.36 | |
| FFJORD2019.04 | — | 157.4 | |
| Glow2019.04 | — | 155.07 | |
| MADE MoG2019.04 | — | 153.71 | |
| MAF-affine2019.04 | — | 155.69 | |
| MAF-affine MoG2019.04 | — | 156.36 | |
| NAF-DDSF2019.04 | — | 157.43 | |
| Real NVP2019.04 | — | 153.28 | |
| TAN2019.04 | — | 159.8 |