A. Kolesnikov, A. Kuznetsova, C. Lampert, and V. Ferrari, “Detecting visual relationships using box attention,” in Proceedings of the 2019 International Conference on Computer Vision Workshop, Seoul, South Korea, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/7640
DOI: 10.1109/ICCVW.2019.00217
WoS: 000554591601098
arXiv: 1807.02136

A. Rannen-Triki, M. Berman, V. Kolmogorov, and M. B. Blaschko, “Function norms for neural networks,” in Proceedings of the 2019 International Conference on Computer Vision Workshop, Seoul, South Korea, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/7639
DOI: 10.1109/ICCVW.2019.00097
WoS: 000554591600090

N. H. Barton and A. Etheridge, “Mathematical models in population genetics,” in Handbook of statistical genomics, 4th ed., D. Balding, I. Moltke, and J. Marioni, Eds. Wiley, 2019, pp. 115–144.
LibreCat: https://research-explorer.ista.ac.at/record/8281
DOI: 10.1002/9781119487845.ch4
WoS: 000261343000003

S. Avvakumov, R. Karasev, and A. Skopenkov, “Stronger counterexamples to the topological Tverberg conjecture,” arXiv. arXiv.
LibreCat: https://research-explorer.ista.ac.at/record/8184
WoS: 000986519600004
arXiv: 1908.08731

G. Fuchsbauer, C. Kamath Hosdurg, K. Klein, and K. Z. Pietrzak, “Adaptively secure proxy re-encryption,” presented at the PKC: Public-Key Cryptograhy, Beijing, China, 2019, vol. 11443, pp. 317–346.
LibreCat: https://research-explorer.ista.ac.at/record/6430
DOI: 10.1007/978-3-030-17259-6_11

J. Mayzel, V. Steinberg, and A. Varshney, “Stokes flow analogous to viscous electron current in graphene,” Nature Communications, vol. 10. Springer Nature, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6069
DOI: 10.1038/s41467-019-08916-5
WoS: 000459704600001

A. Varshney and V. Steinberg, “Elastic alfven waves in elastic turbulence,” Nature Communications, vol. 10. Springer Nature, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6014
DOI: 10.1038/s41467-019-08551-0
WoS: 000458175300001
arXiv: 1902.03763

N. Amberg et al., “EGFR controls hair shaft differentiation in a -independent manner,” iScience, vol. 15. Elsevier, pp. 243–256, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6451
DOI: 10.1016/j.isci.2019.04.018
WoS: 000470104600022

A. M. Dietlein, M. Gebert, and P. Müller, “Perturbations of continuum random Schrödinger operators with applications to Anderson orthogonality and the spectral shift function,” Journal of Spectral Theory, vol. 9, no. 3. European Mathematical Society Publishing House, pp. 921–965, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/10879
DOI: 10.4171/jst/267
WoS: 000484709400006
arXiv: 1701.02956

F. Flandoli, E. Priola, and G. A. Zanco, “A mean-field model with discontinuous coefficients for neurons with spatial interaction,” Discrete and Continuous Dynamical Systems, vol. 39, no. 6. American Institute of Mathematical Sciences, pp. 3037–3067, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/10878
DOI: 10.3934/dcds.2019126
WoS: 000459954800003
arXiv: 1708.04156

K.-T. Foerster, J. Korhonen, J. Rybicki, and S. Schmid, “Does preprocessing help under congestion?,” in Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, Toronto, ON, Canada, 2019, pp. 259–261.
LibreCat: https://research-explorer.ista.ac.at/record/6935
DOI: 10.1145/3293611.3331581
WoS: 000570442000037
arXiv: 1905.03012

N. Nikolic, “Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system,” Current Genetics, vol. 65, no. 1. Springer, pp. 133–138, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/138
DOI: 10.1007/s00294-018-0879-8
WoS: 000456958800017

J. L. Fischer and O. 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, vol. 266, no. 1. Elsevier, pp. 257–311, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/151
DOI: 10.1016/j.jde.2018.07.045
WoS: 000449108500010
arXiv: 1408.1587

N. Amberg, S. Laukoter, and S. Hippenmeyer, “Epigenetic cues modulating the generation of cell type diversity in the cerebral cortex,” Journal of Neurochemistry, vol. 149, no. 1. Wiley, pp. 12–26, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/27
DOI: 10.1111/jnc.14601
WoS: 000462680200002

N. Petridou, S. Grigolon, G. Salbreux, E. B. Hannezo, and C.-P. J. Heisenberg, “Fluidization-mediated tissue spreading by mitotic cell rounding and non-canonical Wnt signalling,” Nature Cell Biology, vol. 21. Nature Publishing Group, pp. 169–178, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/5789
DOI: 10.1038/s41556-018-0247-4
WoS: 000457468300011
PMID: 30559456

M. Lang and M. Shkolnikov, “Harmonic dynamics of the Abelian sandpile,” Proceedings of the National Academy of Sciences, vol. 116, no. 8. National Academy of Sciences, pp. 2821–2830, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/196
DOI: 10.1073/pnas.1812015116
WoS: 000459074400013
PMID:  30728300
arXiv: 1806.10823

F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, and O. Bachem, “Disentangling factors of variation using few labels,” in 8th International Conference on Learning Representations, Virtual, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/14184
arXiv: 1905.01258

L. Gresele, P. K. Rubenstein, A. Mehrjou, F. Locatello, and B. Schölkopf, “The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA,” in Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, Tel Aviv, Israel, 2019, vol. 115, pp. 217–227.
LibreCat: https://research-explorer.ista.ac.at/record/14189
arXiv: 1905.06642

F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, and O. Bachem, “On the fairness of disentangled representations,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14611–14624.
LibreCat: https://research-explorer.ista.ac.at/record/14197
arXiv: 1905.13662

F. Locatello, A. Yurtsever, O. Fercoq, and V. Cevher, “Stochastic Frank-Wolfe for composite convex minimization,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14291–14301.
LibreCat: https://research-explorer.ista.ac.at/record/14191
arXiv: 1901.10348