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_miwae")
  ```
  
  ## Reproducibility
  This trained model reproduces the results of the official implementation of [1].
  
  | Model | Dataset | Metric | Obtained value | Reference value |
  |:---:|:---:|:---:|:---:|:---:|
  | MIWAE (M=8, K=8) | Dyn. Binarized MNIST | NLL (5000 IS) | 85.09 (0.00) | 84.97 (0.10) |
  
  [1] Rainforth, Tom, et al. "Tighter variational bounds are not necessarily better." International Conference on Machine Learning. PMLR, 2018.