Dura-Bernal S, Suter B, Gleeson P, et al. NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 2019;8. doi:10.7554/elife.44494

Veltsos P, Ridout KE, Toups MA, et al. Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua. Genetics. 2019;212(3):815-835. doi:10.1534/genetics.119.302045

Stürner T, Tatarnikova A, Müller J, et al. Transient localization of the Ar/3 complex initiates neuronal dendrite branching in vivo. Development. 2019;146(7). doi:10.1242/dev.171397

Chatterjee K, Doyen L. Graph planning with expected finite horizon. In: 34th Annual ACM/IEEE Symposium on Logic in Computer Science. IEEE; 2019:1-13. doi:10.1109/lics.2019.8785706

Vukics A, Dombi A, Fink JM, Domokos P. Finite-size scaling of the photon-blockade breakdown dissipative quantum phase transition. Quantum. 2019;3. doi:10.22331/q-2019-06-03-150

Swoboda P, Kolmogorov V. Map inference via block-coordinate Frank-Wolfe algorithm. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol 2019-June. IEEE; 2019. doi:10.1109/CVPR.2019.01140

Morandell J, Nicolas A, Schwarz LA, Novarino G. S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism. European Neuropsychopharmacology. 2019;29(Supplement 6):-. doi:10.1016/j.euroneuro.2019.09.040

Knaus L, Tarlungeanu D-C, Novarino G. S.16.03 A homozygous missense mutation in SL leads to autism spectrum disorder and microcephaly. European Neuropsychopharmacology. 2019;29(Supplement 6):. doi:10.1016/j.euroneuro.2019.09.039

Benková E, Dagdas Y. Editorial overview: Cell biology in the era of omics? Current Opinion in Plant Biology. 2019;52(12):-. doi:10.1016/j.pbi.2019.11.002

Phuong M, Lampert C. Distillation-based training for multi-exit architectures. In: IEEE International Conference on Computer Vision. Vol 2019-October. IEEE; 2019:1355-1364. doi:10.1109/ICCV.2019.00144

Wendler C, Alistarh D-A, Püschel M. Powerset convolutional neural networks. In: Vol 32. Neural Information Processing Systems Foundation; 2019:927-938.

Cremer S, Kutzer M. Social immunity. In: Choe J, ed. Encyclopedia of Animal Behavior. 2nd ed. Elsevier; 2019:747-755. doi:10.1016/B978-0-12-809633-8.90721-0

Laccone F, Malomo L, Perez Rodriguez J, et al. FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels. In: IASS Symposium 2019 - 60th Anniversary Symposium of the International Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International Conference on Textile Composites and Inflatable Structures, FORM and FORCE. International Center for Numerical Methods in Engineering; 2019:509-515.

Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. Detecting visual relationships using box attention. In: Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE; 2019. doi:10.1109/ICCVW.2019.00217

Rannen-Triki A, Berman M, Kolmogorov V, Blaschko MB. Function norms for neural networks. In: Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE; 2019. doi:10.1109/ICCVW.2019.00097

Barton NH, Etheridge A. Mathematical models in population genetics. In: Balding D, Moltke I, Marioni J, eds. Handbook of Statistical Genomics. 4th ed. Wiley; 2019:115-144. doi:10.1002/9781119487845.ch4

Avvakumov S, Karasev R, Skopenkov A. Stronger counterexamples to the topological Tverberg conjecture. arXiv.

Fuchsbauer G, Kamath Hosdurg C, Klein K, Pietrzak KZ. Adaptively secure proxy re-encryption. In: Vol 11443. Springer Nature; 2019:317-346. doi:10.1007/978-3-030-17259-6_11

Mayzel J, Steinberg V, Varshney A. Stokes flow analogous to viscous electron current in graphene. Nature Communications. 2019;10. doi:10.1038/s41467-019-08916-5

Varshney A, Steinberg V. Elastic alfven waves in elastic turbulence. Nature Communications. 2019;10. doi:10.1038/s41467-019-08551-0

Amberg N, Sotiropoulou PA, Heller G, et al. EGFR controls hair shaft differentiation in a -independent manner. iScience. 2019;15:243-256. doi:10.1016/j.isci.2019.04.018

Dietlein AM, Gebert M, Müller P. Perturbations of continuum random Schrödinger operators with applications to Anderson orthogonality and the spectral shift function. Journal of Spectral Theory. 2019;9(3):921-965. doi:10.4171/jst/267

Flandoli F, Priola E, Zanco GA. A mean-field model with discontinuous coefficients for neurons with spatial interaction. Discrete and Continuous Dynamical Systems. 2019;39(6):3037-3067. doi:10.3934/dcds.2019126

Foerster K-T, Korhonen J, Rybicki J, Schmid S. Does preprocessing help under congestion? In: Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing. ACM; 2019:259-261. doi:10.1145/3293611.3331581

Nikolic N. Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system. Current Genetics. 2019;65(1):133-138. doi:10.1007/s00294-018-0879-8

Fischer JL, Kneuss O. Bi-Sobolev solutions to the prescribed Jacobian inequality in the plane with L p data and applications to nonlinear elasticity. Journal of Differential Equations. 2019;266(1):257-311. doi:10.1016/j.jde.2018.07.045

Amberg N, Laukoter S, Hippenmeyer S. Epigenetic cues modulating the generation of cell type diversity in the cerebral cortex. Journal of Neurochemistry. 2019;149(1):12-26. doi:10.1111/jnc.14601

Petridou N, Grigolon S, Salbreux G, Hannezo EB, Heisenberg C-PJ. Fluidization-mediated tissue spreading by mitotic cell rounding and non-canonical Wnt signalling. Nature Cell Biology. 2019;21:169–178. doi:10.1038/s41556-018-0247-4

Lang M, Shkolnikov M. Harmonic dynamics of the Abelian sandpile. Proceedings of the National Academy of Sciences. 2019;116(8):2821-2830. doi:10.1073/pnas.1812015116

Locatello F, Tschannen M, Bauer S, Rätsch G, Schölkopf B, Bachem O. Disentangling factors of variation using few labels. In: 8th International Conference on Learning Representations. ; 2019.

Gresele L, Rubenstein PK, Mehrjou A, Locatello F, Schölkopf B. The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA. In: Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence. Vol 115. ML Research Press; 2019:217-227.

Locatello F, Abbati G, Rainforth T, Bauer S, Schölkopf B, Bachem O. On the fairness of disentangled representations. In: Advances in Neural Information Processing Systems. Vol 32. ; 2019:14611–14624.

Locatello F, Yurtsever A, Fercoq O, Cevher V. Stochastic Frank-Wolfe for composite convex minimization. In: Advances in Neural Information Processing Systems. Vol 32. ; 2019:14291–14301.

Steenkiste S van, Locatello F, Schmidhuber J, Bachem O. Are disentangled representations helpful for abstract visual reasoning? In: Advances in Neural Information Processing Systems. Vol 32. ; 2019.

Locatello F, Bauer S, Lucic M, et al. Challenging common assumptions in the unsupervised learning of disentangled representations. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:4114-4124.

Kavcic B, Sakashita A, Noguchi H, Ziherl P. Limiting shapes of confined lipid vesicles. Soft Matter. 2019;15(4):602-614. doi:10.1039/c8sm01956h

Erbar M, Maas J, Wirth M. On the geometry of geodesics in discrete optimal transport. Calculus of Variations and Partial Differential Equations. 2019;58(1). doi:10.1007/s00526-018-1456-1

Gondal MW, Wüthrich M, Miladinovi , et al. On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset. In: Advances in Neural Information Processing Systems. Vol 32. ; 2019.

Akitaya H, Fulek R, Tóth C. Recognizing weak embeddings of graphs. ACM Transactions on Algorithms. 2019;15(4). doi:10.1145/3344549

Giacobbe M. Automatic time-unbounded reachability analysis of hybrid systems. 2019. doi:10.15479/AT:ISTA:6894

Barton NH. Data from: The consequences of an introgression event. 2019. doi:10.5061/dryad.2kb6fh4

Trébuchet G, Cattenoz PB, Zsámboki J, et al. The Repo homeodomain transcription factor suppresses hematopoiesis in Drosophila and preserves the glial fate. Journal of Neuroscience. 2019;39(2):238-255. doi:10.1523/JNEUROSCI.1059-18.2018

Ganev IV. The wonderful compactification for quantum groups. Journal of the London Mathematical Society. 2019;99(3):778-806. doi:10.1112/jlms.12193

Vasileva MK. Molecular mechanisms of endomembrane trafficking in Arabidopsis thaliana. 2019. doi:10.15479/AT:ISTA:7172

Goudarzi M, Boquet-Pujadas A, Olivo-Marin JC, Raz E. Fluid dynamics during bleb formation in migrating cells in vivo. PLOS ONE. 2019;14(2). doi:10.1371/journal.pone.0212699

Cepeda Humerez SA. Estimating information flow in single cells. 2019. doi:10.15479/AT:ISTA:6473

Prizak R. Coevolution of transcription factors and their binding sites in sequence space. 2019. doi:10.15479/at:ista:th6071

Srivastava TK. On derived equivalences of k3 surfaces in positive characteristic. Documenta Mathematica. 2019;24:1135-1177. doi:10.25537/dm.2019v24.1135-1177

Ferrari P, Ghosal P, Nejjar P. Limit law of a second class particle in TASEP with non-random initial condition. Annales de l’institut Henri Poincare (B) Probability and Statistics. 2019;55(3):1203-1225. doi:10.1214/18-AIHP916

Danowski P. An Austrian proposal for the classification of Open Access Tuples (COAT) - distinguish different open access types beyond colors. Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 2019;72(1):59-65. doi:10.31263/voebm.v72i1.2276