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5052 Publications

2019 | Conference Paper | IST-REx-ID: 14200 | OA
F. Locatello et al., “Challenging common assumptions in the unsupervised learning of disentangled representations,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, United States, 2019, vol. 97, pp. 4114–4124.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 5817 | OA
B. Kavcic, A. Sakashita, H. Noguchi, and P. Ziherl, “Limiting shapes of confined lipid vesicles,” Soft Matter, vol. 15, no. 4. Royal Society of Chemistry, pp. 602–614, 2019.
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2019 | Journal Article | IST-REx-ID: 73 | OA
M. Erbar, J. Maas, and M. Wirth, “On the geometry of geodesics in discrete optimal transport,” Calculus of Variations and Partial Differential Equations, vol. 58, no. 1. Springer, 2019.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2019 | Conference Paper | IST-REx-ID: 14190 | OA
M. W. Gondal et al., “On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 6982 | OA
H. Akitaya, R. Fulek, and C. Tóth, “Recognizing weak embeddings of graphs,” ACM Transactions on Algorithms, vol. 15, no. 4. ACM, 2019.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

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