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5052 Publications
2019 | Conference Paper | IST-REx-ID: 14184 | 
Locatello, Francesco, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, and Olivier Bachem. “Disentangling Factors of Variation Using Few Labels.” In 8th International Conference on Learning Representations, 2019.
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| arXiv
2019 | Conference Paper | IST-REx-ID: 14189 |
Gresele, Luigi, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, and Bernhard Schölkopf. “The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA.” In Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence, 115:217–27. ML Research Press, 2019.
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| arXiv
2019 | Conference Paper | IST-REx-ID: 14197 |
Locatello, Francesco, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, and Olivier Bachem. “On the Fairness of Disentangled Representations.” In Advances in Neural Information Processing Systems, 32:14611–14624, 2019.
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| arXiv
2019 | Conference Paper | IST-REx-ID: 14191 |
Locatello, Francesco, Alp Yurtsever, Olivier Fercoq, and Volkan Cevher. “Stochastic Frank-Wolfe for Composite Convex Minimization.” In Advances in Neural Information Processing Systems, 32:14291–14301, 2019.
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| arXiv
2019 | Conference Paper | IST-REx-ID: 14193 |
Steenkiste, Sjoerd van, Francesco Locatello, Jürgen Schmidhuber, and Olivier Bachem. “Are Disentangled Representations Helpful for Abstract Visual Reasoning?” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
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| arXiv