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

Cite this as

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

DOI retrieved: December 16, 2024

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