You're currently viewing an old version of this dataset. To see the current version, click here.

Wasserstein Auto-Encoder (WAE)

Wasserstein Auto-Encoder (WAE) is a generative model that uses a combination of convolutional and fully connected layers to learn a probabilistic representation of images.

Data and Resources

This dataset has no data

Cite this as

I. Tolstikhin, O. Bousquet, S. Gelly, B. Schölkopf (2024). Dataset: Wasserstein Auto-Encoder (WAE). https://doi.org/10.57702/bnl2q74l

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	I. Tolstikhin
More Authors	O. Bousquet S. Gelly B. Schölkopf
Homepage	https://arxiv.org/abs/1711.06434