clementchadebec/reproduced_vae

This model was trained with pythae. It can be downloaded or reloaded using the method load_from_hf_hub

>>> from pythae.models import AutoModel
>>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_vae")

Reproducibility

This trained model reproduces the results of the VAE used in Table 1 in [1].

Model	Dataset	Metric	Obtained value	Reference value
VAE	Binary MNIST	NLL (200 IS)	89.78 (0.01)	89.9

[1] Danilo Rezende and Shakir Mohamed. Variational inference with normalizing flows. In International Conference on Machine Learning, pages 1530–1538. PMLR, 2015