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8978 Publications


2019 | Journal Article | IST-REx-ID: 151 | OA [Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2019 | Journal Article | IST-REx-ID: 27 | OA
Epigenetic cues modulating the generation of cell type diversity in the cerebral cortex
N. Amberg, S. Laukoter, S. Hippenmeyer, Journal of Neurochemistry 149 (2019) 12–26.
[Published Version] View | Files available | DOI | WoS
 

2019 | Journal Article | IST-REx-ID: 5789 | OA
Fluidization-mediated tissue spreading by mitotic cell rounding and non-canonical Wnt signalling
N. Petridou, S. Grigolon, G. Salbreux, E.B. Hannezo, C.-P.J. Heisenberg, Nature Cell Biology 21 (2019) 169–178.
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2019 | Journal Article | IST-REx-ID: 196 | OA
Harmonic dynamics of the Abelian sandpile
M. Lang, M. Shkolnikov, Proceedings of the National Academy of Sciences 116 (2019) 2821–2830.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS | PubMed | Europe PMC | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14184 | OA
Disentangling factors of variation using few labels
F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, O. Bachem, in:, 8th International Conference on Learning Representations, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14189 | OA
The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA
L. Gresele, P.K. Rubenstein, A. Mehrjou, F. Locatello, B. Schölkopf, in:, Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, ML Research Press, 2019, pp. 217–227.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14197 | OA
On the fairness of disentangled representations
F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, O. Bachem, in:, Advances in Neural Information Processing Systems, 2019, pp. 14611–14624.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14191 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14193 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14200 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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