Locatello, F., Tschannen, M., Bauer, S., Rätsch, G., Schölkopf, B., &; Bachem, O. (2019). Disentangling factors of variation using few labels. In 8th International Conference on Learning Representations. Virtual.

Gresele, L., Rubenstein, P. K., Mehrjou, A., Locatello, F., &; Schölkopf, B. (2019). The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA. In Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence (Vol. 115, pp. 217–227). Tel Aviv, Israel: ML Research Press.

Locatello, F., Abbati, G., Rainforth, T., Bauer, S., Schölkopf, B., &; Bachem, O. (2019). On the fairness of disentangled representations. In Advances in Neural Information Processing Systems (Vol. 32, pp. 14611–14624). Vancouver, Canada.

Locatello, F., Yurtsever, A., Fercoq, O., &; Cevher, V. (2019). Stochastic Frank-Wolfe for composite convex minimization. In Advances in Neural Information Processing Systems (Vol. 32, pp. 14291–14301). Vancouver, Canada.

Steenkiste, S. van, Locatello, F., Schmidhuber, J., &; Bachem, O. (2019). Are disentangled representations helpful for abstract visual reasoning? In Advances in Neural Information Processing Systems (Vol. 32). Vancouver, Canada.

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. In Proceedings of the 36th International Conference on Machine Learning (Vol. 97, pp. 4114–4124). Long Beach, CA, United States: ML Research Press.

Kavcic, B., Sakashita, A., Noguchi, H., &; Ziherl, P. (2019). Limiting shapes of confined lipid vesicles. Soft Matter. Royal Society of Chemistry.https://doi.org/10.1039/c8sm01956h 

Erbar, M., Maas, J., &; Wirth, M. (2019). On the geometry of geodesics in discrete optimal transport. Calculus of Variations and Partial Differential Equations. Springer.https://doi.org/10.1007/s00526-018-1456-1 

Gondal, M. W., Wüthrich, M., Miladinovi, ., Locatello, F., Breidt, M., Volchkov, V.,  Bauer, S. (2019). On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset. In Advances in Neural Information Processing Systems (Vol. 32). Vancouver, Canada.

Akitaya, H., Fulek, R., &; Tóth, C. (2019). Recognizing weak embeddings of graphs. ACM Transactions on Algorithms. ACM.https://doi.org/10.1145/3344549 

Giacobbe, M. (2019). Automatic time-unbounded reachability analysis of hybrid systems. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6894 

Barton, N. H. (2019). Data from: The consequences of an introgression event. Dryad.https://doi.org/10.5061/dryad.2kb6fh4 

Trébuchet, G., Cattenoz, P. B., Zsámboki, J., Mazaud, D., Siekhaus, D. E., Fanto, M., &; Giangrande, A. (2019). The Repo homeodomain transcription factor suppresses hematopoiesis in Drosophila and preserves the glial fate. Journal of Neuroscience. Society for Neuroscience.https://doi.org/10.1523/JNEUROSCI.1059-18.2018 

Ganev, I. V. (2019). The wonderful compactification for quantum groups. Journal of the London Mathematical Society. Wiley.https://doi.org/10.1112/jlms.12193 

Vasileva, M. K. (2019). Molecular mechanisms of endomembrane trafficking in Arabidopsis thaliana. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7172 

Goudarzi, M., Boquet-Pujadas, A., Olivo-Marin, J. C., &; Raz, E. (2019). Fluid dynamics during bleb formation in migrating cells in vivo. PLOS ONE. Public Library of Science.https://doi.org/10.1371/journal.pone.0212699 

Cepeda Humerez, S. A. (2019). Estimating information flow in single cells. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6473 

Prizak, R. (2019). Coevolution of transcription factors and their binding sites in sequence space. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:th6071 

Srivastava, T. K. (2019). On derived equivalences of k3 surfaces in positive characteristic. Documenta Mathematica. EMS Press.https://doi.org/10.25537/dm.2019v24.1135-1177 

Ferrari, P., Ghosal, P., &; Nejjar, P. (2019). Limit law of a second class particle in TASEP with non-random initial condition. Annales de l’institut Henri Poincare (B) Probability and Statistics. Institute of Mathematical Statistics.https://doi.org/10.1214/18-AIHP916