Nonlinear ICA through low-complexity autoencoders

By Sepp Hochreiter, J. Urgen Schmidhuber. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Francesco Locatello
2. Sjoerd van Steenkiste
3. Olivier Bachem
4. J. Urgen Schmidhuber
5. Bernhard Schölkopf
6. Yoshua Bengio
7. Klaus Greff
8. Anirudh Goyal

Citations in the corpus

• Are Disentangled Representations Helpful for Abstract Visual Reasoning? (2019, background): “Other Related Works Learning disentangled representations is similar in spirit to non-linear ICA, although it relies primarily on (architectural) inductive biases and different degrees of supervision [13, 2, 39, 36, 37, 38, 25, 33, 32].”