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8978 Publications


2019 | Book Chapter | IST-REx-ID: 8281
Barton, Nicholas H, and Alison Etheridge. “Mathematical Models in Population Genetics.” In Handbook of Statistical Genomics, edited by David Balding, Ida Moltke, and John Marioni, 4th ed., 115–44. Wiley, 2019. https://doi.org/10.1002/9781119487845.ch4.
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2019 | Preprint | IST-REx-ID: 8184 | OA
Avvakumov, Sergey, R. Karasev, and A. Skopenkov. “Stronger Counterexamples to the Topological Tverberg Conjecture.” ArXiv. arXiv, n.d.
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2019 | Conference Paper | IST-REx-ID: 6430 | OA
Fuchsbauer, Georg, Chethan Kamath Hosdurg, Karen Klein, and Krzysztof Z Pietrzak. “Adaptively Secure Proxy Re-Encryption,” 11443:317–46. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-17259-6_11.
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2019 | Journal Article | IST-REx-ID: 6069 | OA
Mayzel, Jonathan, Victor Steinberg, and Atul Varshney. “Stokes Flow Analogous to Viscous Electron Current in Graphene.” Nature Communications. Springer Nature, 2019. https://doi.org/10.1038/s41467-019-08916-5.
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2019 | Journal Article | IST-REx-ID: 6014 | OA
Varshney, Atul, and Victor Steinberg. “Elastic Alfven Waves in Elastic Turbulence.” Nature Communications. Springer Nature, 2019. https://doi.org/10.1038/s41467-019-08551-0.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2019 | Journal Article | IST-REx-ID: 6451 | OA
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 P53-Independent Manner.” IScience. Elsevier, 2019. https://doi.org/10.1016/j.isci.2019.04.018.
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2019 | Journal Article | IST-REx-ID: 10879 | OA
Dietlein, Adrian M, Martin Gebert, and Peter Müller. “Perturbations of Continuum Random Schrödinger Operators with Applications to Anderson Orthogonality and the Spectral Shift Function.” Journal of Spectral Theory. European Mathematical Society Publishing House, 2019. https://doi.org/10.4171/jst/267.
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2019 | Journal Article | IST-REx-ID: 10878 | OA
Flandoli, Franco, Enrico Priola, and Giovanni A Zanco. “A Mean-Field Model with Discontinuous Coefficients for Neurons with Spatial Interaction.” Discrete and Continuous Dynamical Systems. American Institute of Mathematical Sciences, 2019. https://doi.org/10.3934/dcds.2019126.
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2019 | Conference Paper | IST-REx-ID: 6935 | OA
Foerster, Klaus-Tycho, Janne Korhonen, Joel Rybicki, and Stefan Schmid. “Does Preprocessing Help under Congestion?” 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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2019 | Journal Article | IST-REx-ID: 138 | OA
Nikolic, Nela. “Autoregulation of Bacterial Gene Expression: Lessons from the MazEF Toxin–Antitoxin System.” Current Genetics. Springer, 2019. https://doi.org/10.1007/s00294-018-0879-8.
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2019 | Journal Article | IST-REx-ID: 151 | OA
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.” Journal of Differential Equations. Elsevier, 2019. https://doi.org/10.1016/j.jde.2018.07.045.
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2019 | Journal Article | IST-REx-ID: 27 | OA
Amberg, Nicole, Susanne Laukoter, and Simon Hippenmeyer. “Epigenetic Cues Modulating the Generation of Cell Type Diversity in the Cerebral Cortex.” Journal of Neurochemistry. Wiley, 2019. https://doi.org/10.1111/jnc.14601.
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2019 | Journal Article | IST-REx-ID: 5789 | OA
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.” Nature Cell Biology. Nature Publishing Group, 2019. https://doi.org/10.1038/s41556-018-0247-4.
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2019 | Journal Article | IST-REx-ID: 196 | OA
Lang, Moritz, and Mikhail Shkolnikov. “Harmonic Dynamics of the Abelian Sandpile.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2019. 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 | OA
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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2019 | Conference Paper | IST-REx-ID: 14189 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14197 | OA
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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2019 | Conference Paper | IST-REx-ID: 14191 | OA
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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2019 | Conference Paper | IST-REx-ID: 14193 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 14200 | OA
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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