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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_vamp")

Reproducibility

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

Model Dataset Metric Obtained value Reference value
VAMP (K=500) Binary MNIST NLL (5000 IS) 85.79 (0.00) 85.57

[1] Jakub Tomczak and Max Welling. Vae with a vampprior. In International Conference on Artificial Intelligence and Statistics, pages 1214–1223. PMLR, 2018.

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