Skip to Main content Skip to Navigation
Conference papers

From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder

Victor Berger 1 Michèle Sebag 2
1 TAU - TAckling the Underspecified
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/hal-02431955
Contributor : Victor Berger <>
Submitted on : Tuesday, January 21, 2020 - 5:58:27 PM
Last modification on : Wednesday, September 16, 2020 - 5:51:58 PM
Long-term archiving on: : Wednesday, April 22, 2020 - 12:32:46 PM

Files

main.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02431955, version 1
  • ARXIV : 2001.07910

Citation

Victor Berger, Michèle Sebag. From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder. ECML PKDD 2019 - European Conference on Machine learning and knowledge discovery in databases, Sep 2019, Würzburg, Germany. ⟨hal-02431955⟩

Share

Metrics

Record views

70

Files downloads

247