Stochastic Frank-Wolfe for composite convex minimization
F. Locatello, A. Yurtsever, O. Fercoq, V. Cevher, in:, Advances in Neural Information Processing Systems, 2019, pp. 14291–14301.
LibreCat: https://research-explorer.ista.ac.at/record/14191
arXiv: 1901.10348

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

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

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

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