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Fuchsbauer, Georg, Chethan Kamath Hosdurg, Karen Klein, and Krzysztof Z Pietrzak. “Adaptively Secure Proxy Re-Encryption,”https://doi.org/10.1007/978-3-030-17259-6_11__11443:317–46. Springer Nature, 2019.https://doi.org/10.1007/978-3-030-17259-6_11 .
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Mayzel, Jonathan, Victor Steinberg, and Atul Varshney. “Stokes Flow Analogous to Viscous Electron Current in Graphene.”https://doi.org/10.1038/s41467-019-08916-5__Nature Communications. Springer Nature, 2019.https://doi.org/10.1038/s41467-019-08916-5 .
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Varshney, Atul, and Victor Steinberg. “Elastic Alfven Waves in Elastic Turbulence.”https://doi.org/10.1038/s41467-019-08551-0__Nature Communications. Springer Nature, 2019.https://doi.org/10.1038/s41467-019-08551-0 .
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arXiv: 1902.03763

Amberg, Nicole, Panagiota A. Sotiropoulou, Gerwin Heller, Beate M. Lichtenberger, Martin Holcmann, Bahar Camurdanoglu, Temenuschka Baykuscheva-Gentscheva, Cedric Blanpain, and Maria Sibilia. “EGFR Controls Hair Shaft Differentiation in a -Independent Manner.”https://doi.org/10.1016/j.isci.2019.04.018__IScience. Elsevier, 2019.https://doi.org/10.1016/j.isci.2019.04.018 .
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Dietlein, Adrian M, Martin Gebert, and Peter Müller. “Perturbations of Continuum Random Schrödinger Operators with Applications to Anderson Orthogonality and the Spectral Shift Function.”https://doi.org/10.4171/jst/267__Journal of Spectral Theory. European Mathematical Society Publishing House, 2019.https://doi.org/10.4171/jst/267 .
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Flandoli, Franco, Enrico Priola, and Giovanni A Zanco. “A Mean-Field Model with Discontinuous Coefficients for Neurons with Spatial Interaction.”https://doi.org/10.3934/dcds.2019126__Discrete and Continuous Dynamical Systems. American Institute of Mathematical Sciences, 2019.https://doi.org/10.3934/dcds.2019126 .
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Foerster, Klaus-Tycho, Janne Korhonen, Joel Rybicki, and Stefan Schmid. “Does Preprocessing Help under Congestion?”https://doi.org/10.1145/3293611.3331581__In Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 259–61. ACM, 2019.https://doi.org/10.1145/3293611.3331581 .
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Nikolic, Nela. “Autoregulation of Bacterial Gene Expression: Lessons from the MazEF Toxin–Antitoxin System.”https://doi.org/10.1007/s00294-018-0879-8__Current Genetics. Springer, 2019.https://doi.org/10.1007/s00294-018-0879-8 .
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Fischer, Julian L, and Olivier Kneuss. “Bi-Sobolev Solutions to the Prescribed Jacobian Inequality in the Plane with L p Data and Applications to Nonlinear Elasticity.”https://doi.org/10.1016/j.jde.2018.07.045__Journal of Differential Equations. Elsevier, 2019.https://doi.org/10.1016/j.jde.2018.07.045 .
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Amberg, Nicole, Susanne Laukoter, and Simon Hippenmeyer. “Epigenetic Cues Modulating the Generation of Cell Type Diversity in the Cerebral Cortex.”https://doi.org/10.1111/jnc.14601__Journal of Neurochemistry. Wiley, 2019.https://doi.org/10.1111/jnc.14601 .
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Petridou, Nicoletta, Silvia Grigolon, Guillaume Salbreux, Edouard B Hannezo, and Carl-Philipp J Heisenberg. “Fluidization-Mediated Tissue Spreading by Mitotic Cell Rounding and Non-Canonical Wnt Signalling.”https://doi.org/10.1038/s41556-018-0247-4__Nature Cell Biology. Nature Publishing Group, 2019.https://doi.org/10.1038/s41556-018-0247-4 .
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Lang, Moritz, and Mikhail Shkolnikov. “Harmonic Dynamics of the Abelian Sandpile.”https://doi.org/10.1073/pnas.1812015116__Proceedings of the National Academy of Sciences. National Academy of Sciences, 2019.https://doi.org/10.1073/pnas.1812015116 .
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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: 1905.01258

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: 1905.06642

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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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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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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Locatello, Francesco, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem. “Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.” In Proceedings of the 36th International Conference on Machine Learning, 97:4114–24. ML Research Press, 2019.
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Kavcic, Bor, A. Sakashita, H. Noguchi, and P. Ziherl. “Limiting Shapes of Confined Lipid Vesicles.”https://doi.org/10.1039/c8sm01956h__Soft Matter. Royal Society of Chemistry, 2019.https://doi.org/10.1039/c8sm01956h .
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