Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
550 Publications
2019 | Journal Article | IST-REx-ID: 196 |
Lang, M., & Shkolnikov, M. (2019). Harmonic dynamics of the Abelian sandpile. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.1812015116
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)
| WoS
| PubMed | Europe PMC
| arXiv
2019 | Conference Paper | IST-REx-ID: 14184 |
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2019 | Conference Paper | IST-REx-ID: 14189 |
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2019 | Conference Paper | IST-REx-ID: 14197 |
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2019 | Conference Paper | IST-REx-ID: 14191 |
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2019 | Conference Paper | IST-REx-ID: 14193 |
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2019 | Conference Paper | IST-REx-ID: 14200 |
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2019 | Journal Article | IST-REx-ID: 5817 |
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
[Submitted Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
2019 | Journal Article | IST-REx-ID: 73 |
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
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2019 | Conference Paper | IST-REx-ID: 14190 |
Gondal, M. W., Wüthrich, M., Miladinović, Đ., 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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv