---
language: en
tags:
- pythae
- reproducibility
license: apache-2.0
---

This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
```python
>>> from pythae.models import AutoModel
>>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_iwae")
```

## Reproducibility
This trained model reproduces the results of Table 1 in [1].

| Model | Dataset | Metric | Obtained value | Reference value |
|:---:|:---:|:---:|:---:|:---:|
| IWAE (n_samples=5) | Binary MNIST | NLL (5000 IS) | 87.85 (0.01) | 87.6 |
| **IWAE (n_samples=50)** | Binary MNIST | NLL (5000 IS) | 86.82 (0.01) | 87.1 |

[1] Burda, Y. et al, *Importance Weighted Autoencoders*, ArXiv:1509.00519