readme: ---
  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