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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_rae_l2")

Reproducibility

This trained model reproduces the results of the official implementation of [1].

Model Dataset Metric Obtained value Reference value
RAE_L2 MNIST FID 9.1 9.9

[1] Partha Ghosh, Mehdi SM Sajjadi, Antonio Vergari, Michael Black, and Bernhard Schölkopf. From variational to deterministic autoencoders. In 8th International Conference on Learning Representations, ICLR 2020, 2020.

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