Arroyo Guevara AM, Derka M, Parada I. Extending simple drawings. In: 27th International Symposium on Graph Drawing and Network Visualization. Vol 11904. Springer Nature; 2019:230-243. doi:10.1007/978-3-030-35802-0_18

Ferrere T, Maler O, Nickovic D. Mixed-time signal temporal logic. In: 17th International Conference on Formal Modeling and Analysis of Timed Systems. Vol 11750. Springer Nature; 2019:59-75. doi:10.1007/978-3-030-29662-9_4

Sahgal P, Alanko JH, Icha J, et al. GG and RA promote activity-dependent ;21-integrin recycling. Journal of Cell Science. 2019;132(11). doi:10.1242/jcs.233387

Akemann G, Checinski T, Liu D, Strahov E. Finite rank perturbations in products of coupled random matrices: From one correlated to two Wishart ensembles. Annales de l’Institut Henri Poincaré, Probabilités et Statistiques. 2019;55(1):441-479. doi:10.1214/18-aihp888

Toups MA, Rodrigues N, Perrin N, Kirkpatrick M. A reciprocal translocation radically reshapes sexlinked inheritance in the common frog. Molecular Ecology. 2019;28(8):1877-1889. doi:10.1111/mec.14990

Abusalah HM, Kamath Hosdurg C, Klein K, Pietrzak KZ, Walter M. Reversible proofs of sequential work. In: Advances in Cryptology – EUROCRYPT 2019. Vol 11477. Springer International Publishing; 2019:277-291. doi:10.1007/978-3-030-17656-3_10

Mckenzie C, Spanova M, Johnson AJ, et al. Isolation of synaptic vesicles from genetically engineered cultured neurons. Journal of Neuroscience Methods. 2019;312:114-121. doi:10.1016/j.jneumeth.2018.11.018

Yu C, Tang H, Renggli C, et al. Distributed learning over unreliable networks. In: 36th International Conference on Machine Learning, ICML 2019. Vol 2019-June. IMLS; 2019:12481-12512.

Achlioptas D, Iliopoulos F, Kolmogorov V. A local lemma for focused stochastical algorithms. SIAM Journal on Computing. 2019;48(5):1583-1602. doi:10.1137/16m109332x

Karlík O, Sik M, Vévoda P, Skrivan T, Kivánek J. MIS compensation: Optimizing sampling techniques in multiple importance sampling. ACM Transactions on Graphics. 2019;38(6). doi:10.1145/3355089.3356565

Boccato C, Brennecke C, Cenatiempo S, Schlein B. Bogoliubov theory in the Gross–Pitaevskii limit. Acta Mathematica. 2019;222(2):219-335. doi:10.4310/acta.2019.v222.n2.a1

Morales HE, Faria R, Johannesson K, et al. Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast. Science Advances. 2019;5(12). doi:10.1126/sciadv.aav9963

Lopez Alonso JM, Choueiri GH, Hof B. Dynamics of viscoelastic pipe flow at low Reynolds numbers in the maximum drag reduction limit. Journal of Fluid Mechanics. 2019;874:699-719. doi:10.1017/jfm.2019.486

Edelsbrunner H, Nikitenko A. Poisson–Delaunay Mosaics of Order k. Discrete and Computational Geometry. 2019;62(4):865–878. doi:10.1007/s00454-018-0049-2

Xu H, Baracskay P, O’Neill J, Csicsvari JL. Assembly responses of hippocampal C place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze. Neuron. 2019;101(1):119-132.e4. doi:10.1016/j.neuron.2018.11.015

Moser T, Seiringer R. Energy contribution of a point-interacting impurity in a Fermi gas. Annales Henri Poincare. 2019;20(4):1325–1365. doi:10.1007/s00023-018-00757-0

Paranjape CS. Onset of turbulence in plane Poiseuille flow. 2019. doi:10.15479/AT:ISTA:6957

Erdös L, Krüger TH, Schröder DJ. Random matrices with slow correlation decay. Forum of Mathematics, Sigma. 2019;7. doi:10.1017/fms.2019.2

Cipolloni G, Erdös L, Krüger TH, Schröder DJ. Cusp universality for random matrices, II: The real symmetric case. Pure and Applied Analysis . 2019;1(4):615–707. doi:10.2140/paa.2019.1.615

Cepeda Humerez SA, Ruess J, Tkadik G. Estimating information in time-varying signals. PLoS computational biology. 2019;15(9):e1007290. doi:10.1371/journal.pcbi.1007290

Dejonghe W, Sharma I, Denoo B, et al. Disruption of endocytosis through chemical inhibition of clathrin heavy chain function. Nature Chemical Biology. 2019;15(6):641–649. doi:10.1038/s41589-019-0262-1

Schwayer C. Mechanosensation of tight junctions depends on ZO-1 phase separation and flow. 2019. doi:10.15479/AT:ISTA:7186

Zhechev SY. Algorithmic aspects of homotopy theory and embeddability. 2019. doi:10.15479/AT:ISTA:6681

Avvakumov S, Kudrya S. Vanishing of all equivariant obstructions and the mapping degree. arXiv.

Avvakumov S, Karasev R. Envy-free division using mapping degree. arXiv. doi:10.48550/arXiv.1907.11183

Deuchert A, Mayer S, Seiringer R. The free energy of the two-dimensional dilute Bose gas. I. Lower bound. arXiv:191003372.

Edelsbrunner H, Ölsböck K. Holes and dependences in an ordered complex. Computer Aided Geometric Design. 2019;73:1-15. doi:10.1016/j.cagd.2019.06.003

Choudhuri AR, Hubádek P, Kamath Hosdurg C, Pietrzak KZ, Rosen A, Rothblum GN. Finding a Nash equilibrium is no easier than breaking Fiat-Shamir. In: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing  - STOC 2019. ACM Press; 2019:1103-1114. doi:10.1145/3313276.3316400

Lubiw A, Masárová Z, Wagner U. A proof of the orbit conjecture for flipping edge-labelled triangulations. Discrete &; Computational Geometry. 2019;61(4):880-898. doi:10.1007/s00454-018-0035-8

Li X, Bighin G, Yakaboylu E, Lemeshko M. Variational approaches to quantum impurities: from the Fröhlich polaron to the angulon. Molecular Physics. 2019. doi:10.1080/00268976.2019.1567852

Huszár K, Spreer J. 3-manifold triangulations with small treewidth. In: 35th International Symposium on Computational Geometry. Vol 129. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019:44:1-44:20. doi:10.4230/LIPIcs.SoCG.2019.44

Huszár K, Spreer J, Wagner U. On the treewidth of triangulated 3-manifolds. Journal of Computational Geometry. 2019;10(2):70–98. doi:10.20382/JOGC.V10I2A5

Dos Santos Caldas PR, Lopez Pelegrin MD, Pearce DJG, Budanur NB, Brugués J, Loose M. Cooperative ordering of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinker ZapA. Nature Communications. 2019;10. doi:10.1038/s41467-019-13702-4

Tkadlec J, Pavlogiannis A, Chatterjee K, Nowak MA. Population structure determines the tradeoff between fixation probability and fixation time. Communications Biology. 2019;2. doi:10.1038/s42003-019-0373-y

Chatterjee K, Pavlogiannis A, Toman V. Value-centric dynamic partial order reduction. In: Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications. Vol 3. ACM; 2019. doi:10.1145/3360550

Alistarh D-A, Nadiradze G, Koval N. Efficiency guarantees for parallel incremental algorithms under relaxed schedulers. In: 31st ACM Symposium on Parallelism in Algorithms and Architectures. ACM Press; 2019:145-154. doi:10.1145/3323165.3323201

Erdem FA, Ilic M, Koppensteiner P, et al. A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2. The Journal of General Physiology. 2019;151(8):1035-1050. doi:10.1085/jgp.201912318

Letts JA, Fiedorczuk K, Degliesposti G, Skehel M, Sazanov LA. Structures of respiratory supercomplex I+II reveal functional and conformational crosstalk. Molecular Cell. 2019;75(6):1131-1146.e6. doi:10.1016/j.molcel.2019.07.022

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

Khatoniar M, Yama N, Ghazaryan A, Guddala S, Ghaemi P, Menon V. Room temperature control of valley coherence in bilayer W exciton polaritons. In: CLEO: Applications and Technology. Optica  Publishing Group; 2019. doi:10.1364/cleo_at.2019.jtu2a.52

Rueda Sanchez AR, Sedlmeir F, Leuchs G, Kumari M, Schwefel HGL. Resonant electro-optic frequency comb generation in lithium niobate disk resonator inside a microwave cavity. In: Nonlinear Optics, OSA Technical Digest. Optica  Publishing Group; 2019. doi:10.1364/NLO.2019.NM2A.5

Alt J, Erdös L, Krüger TH, Nemish Y. Location of the spectrum of Kronecker random matrices. Annales de l’institut Henri Poincare. 2019;55(2):661-696. doi:10.1214/18-AIHP894

Andergassen D, Muckenhuber M, Bammer PC, et al. The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes. PLoS Genetics. 2019;15(7). doi:10.1371/journal.pgen.1008268

Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical dynamics of bursts in ;8 and ;4 rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 2019;15(11). doi:10.1371/journal.pcbi.1007268

Phuong M, Lampert C. Towards understanding knowledge distillation. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:5142-5151.

Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:3488-3498.

Huang D, Sun Y, Ma Z, et al. Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization. Proceedings of the National Academy of Sciences of the United States of America. 2019;116(42):21274-21284. doi:10.1073/pnas.1911892116

Wright AE, Darolti I, Bloch NI, et al. On the power to detect rare recombination events. Proceedings of the National Academy of Sciences of the United States of America. 2019;116(26):12607-12608. doi:10.1073/pnas.1905555116

Pickup M, Barton NH, Brandvain Y, et al. Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow. New Phytologist. 2019;224(3):1035-1047. doi:10.1111/nph.16180

Fulek R, Gärtner B, Kupavskii A, Valtr P, Wagner U. The crossing Tverberg theorem. In: 35th International Symposium on Computational Geometry. Vol 129. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019:38:1-38:13. doi:10.4230/LIPICS.SOCG.2019.38

Alistarh D-A, Aspnes J, Ellen F, Gelashvili R, Zhu L. Why extension-based proofs fail. In: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. ACM Press; 2019:986-996. doi:10.1145/3313276.3316407