Likelihood-based Generative Modeling on OMNIGLOT
86.04NLL (nats)Generalized GBN
Evaluation Results
| Method | Links | |
|---|---|---|
| Generalized GBNModel type=Gamma VAE Models, Importance samples=10002024.08 | 86.04 | |
| VDVAEModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 86.93 | |
| Attention VAEModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 89.5 | |
| Lossy VAEModel type=VAE and Flow Models with Autoregressive Components, Importance samples=10002024.08 | 89.83 | |
| NVAEModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 90.18 | |
| Conv DRAWModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 91 | |
| BIVAModel type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 93.54 | |
| DirVAEModel type=Non-Gaussian VAE Models, Importance samples=10002024.08 | 95.82 | |
| DVAE++Model type=VAE Models with an Unconditional Decoder, Importance samples=10002024.08 | 97.43 | |
| SBVAEModel type=Non-Gaussian VAE Models, Importance samples=10002024.08 | 128.82 |