Intrinsic disentanglement: an invariance view for deep generative models
By Michel Besserve, Rémy Sun, Bernhard Schölkopf. 2018
4 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Bernhard Schölkopf
- Michel Besserve
- Rémy Sun
- Niki Kilbertus
- Giambattista Parascandolo
- Francesco Locatello
- Yoshua Bengio
- Arthur Gretton
Citations in the corpus
- Counterfactuals uncover the modular structure of deep generative models (2018, background): “This principle can be applied to generative models to assess how well they capture a causal mechanism (Besserve et al., 2018).”
- Generalization in anti-causal learning (2018, background): “Recent work argues that decoders and encoders correspond to causal and anti-causal mappings respectively (Weichwald et al., 2014; Besserve et al., 2018).”