Steenkiste S van, Locatello F, Schmidhuber J, Bachem O. 2019. Are disentangled representations helpful for abstract visual reasoning? Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 32.
LibreCat: https://research-explorer.ista.ac.at/record/14193
arXiv: 1905.12506

Locatello F, Bauer S, Lucic M, Rätsch G, Gelly S, Schölkopf B, Bachem O. 2019. Challenging common assumptions in the unsupervised learning of disentangled representations. Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning vol. 97, 4114–4124.
LibreCat: https://research-explorer.ista.ac.at/record/14200
arXiv: 1811.12359

Kavcic B, Sakashita A, Noguchi H, Ziherl P. 2019. Limiting shapes of confined lipid vesicles. Soft Matter. 15(4), 602–614.
LibreCat: https://research-explorer.ista.ac.at/record/5817
DOI: 10.1039/c8sm01956h
WoS: 000457329700003
PMID: 30629082

Erbar M, Maas J, Wirth M. 2019. On the geometry of geodesics in discrete optimal transport. Calculus of Variations and Partial Differential Equations. 58(1), 19.
LibreCat: https://research-explorer.ista.ac.at/record/73
DOI: 10.1007/s00526-018-1456-1
WoS: 000452849400001
arXiv: 1805.06040

Gondal MW, Wüthrich M, Miladinovi , Locatello F, Breidt M, Volchkov V, Akpo J, Bachem O, Schölkopf B, Bauer S. 2019. On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 32.
LibreCat: https://research-explorer.ista.ac.at/record/14190
arXiv: 1906.03292