most citedVariational Auto-Encoder: not all failures are equal

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 4 cited

Variational Auto-Encoder: not all failures are equal

Michele Sebag, Victor Berger, Michèle Sebag

We claim that a source of severe failures for Variational Auto-Encoders is the choice of the distribution class used for the observation model.A first theoretical and experimental…