Fan, S., Lorenz, M., Massberg, S., &; Gärtner, F. R. (2018). Platelet migration and bacterial trapping assay under flow. Bio-Protocol. Bio-Protocol.https://doi.org/10.21769/bioprotoc.3018 

Petritsch, B. (2018). Open Access at IST Austria 2009-2017. Presented at the Open-Access-Tage, Graz, Austria: IST Austria.https://doi.org/10.5281/zenodo.1410279 

Hausel, T., Mellit, A., &; Pei, D. (2018). Mirror symmetry with branes by equivariant verlinde formulas. In Geometry and Physics: Volume I (pp. 189–218). Oxford University Press.https://doi.org/10.1093/oso/9780198802013.003.0009 

Lee, J., &; Schnelli, K. (2018). Local law and Tracy–Widom limit for sparse random matrices. Probability Theory and Related Fields. Springer.https://doi.org/10.1007/s00440-017-0787-8 

Shekhovtsov, A., Swoboda, P., &; Savchynskyy, B. (2018). Maximum persistency via iterative relaxed inference with graphical models. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE.https://doi.org/10.1109/TPAMI.2017.2730884 

Grubic, D., Tam, L., Alistarh, D.-A., &; Zhang, C. (2018). Synchronous multi-GPU training for deep learning with low-precision communications: An empirical study. In Proceedings of the 21st International Conference on Extending Database Technology (pp. 145–156). Vienna, Austria: OpenProceedings.https://doi.org/10.5441/002/EDBT.2018.14 

Pietrzak, K. Z. (2018). Proofs of catalytic space. In 10th Innovations in Theoretical Computer Science  Conference (ITCS 2019) (Vol. 124, p. 59:1-59:25). San Diego, CA, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPICS.ITCS.2019.59 

Alistarh, D.-A., Leiserson, W., Matveev, A., &; Shavit, N. (2018). ThreadScan: Automatic and scalable memory reclamation. ACM Transactions on Parallel Computing. Association for Computing Machinery.https://doi.org/10.1145/3201897 

Polino, A., Pascanu, R., &; Alistarh, D.-A. (2018). Model compression via distillation and quantization. In 6th International Conference on Learning Representations. Vancouver, Canada.

Llorca, A., Ciceri, G., Beattie, R. J., Wong, F. K., Diana, G., Serafeimidou, E.,https://doi.org/10.1101/494088__Marín, O. (n.d.). Heterogeneous progenitor cell behaviors underlie the assembly of neocortical cytoarchitecture. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/494088 

Chatterjee, K., Henzinger, T. A., &; Otop, J. (2018). Computing average response time. In M. Lohstroh, P. Derler, &; M. Sirjani (Eds.), Principles of Modeling (Vol. 10760, pp. 143–161). Springer.https://doi.org/10.1007/978-3-319-95246-8_9 

Danzl, J. G. (2018). Diffraction-unlimited optical imaging for synaptic physiology. Opera Medica et Physiologica. Lobachevsky State University of Nizhny Novgorod.https://doi.org/10.20388/omp2018.00s1.001 

Avni, G., Guha, S., &; Kupferman, O. (2018). Timed network games with clocks (Vol. 117). Presented at the MFCS: Mathematical Foundations of Computer Science, Liverpool, United Kingdom: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPICS.MFCS.2018.23 

Polechova, J. (2018). Is the sky the limit? On the expansion threshold of a species’ range. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.2005372 

Frost, J. M., Kim, M. Y., Park, G. T., Hsieh, P.-H., Nakamura, M., Lin, S. J. H.,https://doi.org/10.1073/pnas.1713333115__Fischer, R. L. (2018). FACT complex is required for DNA demethylation at heterochromatin during reproduction in Arabidopsis. Proceedings of the National Academy of Sciences. National Academy of Sciences.https://doi.org/10.1073/pnas.1713333115 

Fulek, R., &; Kyndl, J. (2018). The 2-Genus of Kuratowski minors (Vol. 99, p. 40.1-40.14). Presented at the SoCG: Symposium on Computational Geometry, Budapest, Hungary: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2018.40 

Fulek, R., &; Pach, J. (2018). Thrackles: An improved upper bound (Vol. 10692, pp. 160–166). Presented at the GD 2017: Graph Drawing and Network Visualization, Boston, MA, United States: Springer.https://doi.org/10.1007/978-3-319-73915-1_14 

Faria, R., Chaube, P., Morales, H. E., Larsson, T., Lemmon, A. R., Lemmon, E. M.,https://doi.org/10.5061/dryad.72cg113__Butlin, R. K. (2018). Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes. Dryad.https://doi.org/10.5061/dryad.72cg113 

Kazda, A., Kozik, M., McKenzie, R., &; Moore, M. (2018). Absorption and directed Jónsson terms. In J. Czelakowski (Ed.), Don Pigozzi on Abstract Algebraic Logic, Universal Algebra, and Computer Science (Vol. 16, pp. 203–220). Cham: Springer Nature.https://doi.org/10.1007/978-3-319-74772-9_7 

Goaoc, X., Paták, P., Patakova, Z., Tancer, M., &; Wagner, U. (2018). Shellability is NP-complete (Vol. 99, p. 41:1-41:16). Presented at the SoCG: Symposium on Computational Geometry, Budapest, Hungary: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2018.41 

Huszár, K., Spreer, J., &; Wagner, U. (2018). On the treewidth of triangulated 3-manifolds (Vol. 99). Presented at the SoCG: Symposium on Computational Geometry, Budapest, Hungary: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2018.46 

Garriga, E., di Tommaso, P., Magis, C., Erb, I., Mansouri, L., Baltzis, A.,https://doi.org/10.5281/ZENODO.2025846__Notredame, C. (2018). Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method. Zenodo.https://doi.org/10.5281/ZENODO.2025846 

Watzinger, H. (2018). Ge hut wires - from growth to hole spin resonance. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1033 

Iglesias Ham, M. (2018). Multiple covers with balls. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1026 

Zimin, A. (2018). Learning from dependent data. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH1048 

Abusalah, H. M. (2018). Proof systems for sustainable decentralized cryptocurrencies. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_1046 

Kolesnikov, A. (2018). Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1021 

Filakovský, M., Franek, P., Wagner, U., &; Zhechev, S. Y. (2018). Computing simplicial representatives of homotopy group elements. Journal of Applied and Computational Topology. Springer.https://doi.org/10.1007/s41468-018-0021-5 

Kragl, B., Qadeer, S., &; Henzinger, T. A. (2018). Synchronizing the asynchronous (Vol. 118). Presented at the CONCUR: International Conference on Concurrency Theory, Beijing, China: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2018.21 

Edelsbrunner, H., &; Osang, G. F. (2018). The multi-cover persistence of Euclidean balls (Vol. 99). Presented at the SoCG: Symposium on Computational Geometry, Budapest, Hungary: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2018.34 

Akopyan, A. (2018). 3-Webs generated by confocal conics and circles. Geometriae Dedicata. Springer.https://doi.org/10.1007/s10711-017-0265-6 

Watzinger, H., Kukucka, J., Vukusi, L., Gao, F., Wang, T., Schäffler, F.,https://doi.org/10.1038/s41467-018-06418-4__Katsaros, G. (2018). A germanium hole spin qubit. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/s41467-018-06418-4 

Qin, X., Hannezo, E. B., Mangeat, T., Liu, C., Majumder, P., Liu, J.,https://doi.org/10.1038/s41467-018-03574-5__Wang, X. (2018). A biochemical network controlling basal myosin oscillation. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/s41467-018-03574-5 

Casano, A. M., &; Sixt, M. K. (2018). A fat lot of good for wound healing. Developmental Cell. Cell Press.https://doi.org/10.1016/j.devcel.2018.02.009 

Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., &; Cox, D. (2018). A micro-CT-based method for quantitative brain lesion characterization and electrode localization. Scientific Reports. Nature Publishing Group.https://doi.org/10.1038/s41598-018-23247-z 

Dokládal, L., Benková, E., Honys, D., Dupláková, N., Lee, L., Gelvin, S., &; Sýkorová, E. (2018). An armadillo-domain protein participates in a telomerase interaction network. Plant Molecular Biology. Springer.https://doi.org/10.1007/s11103-018-0747-4 

Nickovic, D., Lebeltel, O., Maler, O., Ferrere, T., &; Ulus, D. (2018). AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic. In D. Beyer &; M. Huisman (Eds.) (Vol. 10806, pp. 303–319). Presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, Thessaloniki, Greece: Springer.https://doi.org/10.1007/978-3-319-89963-3_18 

Konrad, M., Pull, C., Metzler, S., Seif, K., Naderlinger, E., Grasse, A. V., &; Cremer, S. (2018). Ants avoid superinfections by performing risk-adjusted sanitary care. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1713501115 

Yakaboylu, E., &; Lemeshko, M. (2018). Anyonic statistics of quantum impurities in two dimensions. Physical Review B - Condensed Matter and Materials Physics. American Physical Society.https://doi.org/10.1103/PhysRevB.98.045402 

Ferrere, T., Henzinger, T. A., &; Saraç, E. (2018). A theory of register monitors (Vol. Part 8033, pp. 394–403). Presented at the LICS: Logic in Computer Science, Oxford, UK: IEEE.https://doi.org/10.1145/3209108.3209194 

Abbas, M., Hernández, G. J., Pollmann, S., Samodelov, S. L., Kolb, M., Friml, J.,https://doi.org/10.1073/pnas.1806565115__Alabadí, D. (2018). Auxin methylation is required for differential growth in Arabidopsis. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1806565115 

Napiórkowski, M. M., Reuvers, R., &; Solovej, J. (2018). Calculation of the critical temperature of a dilute Bose gas in the Bogoliubov approximation. EPL. IOP Publishing Ltd.https://doi.org/10.1209/0295-5075/121/10007 

Zhang, L., Shi, X., Zhang, Y., Wang, J., Yang, J., Ishida, T.,https://doi.org/10.1111/pce.13475__Wang, G. (2018). CL peptide-induced stomatal closure is mediated by abscisic acid, hydrogen peroxide, and nitric oxide in arabidopsis thaliana. Plant Cell and Environment. Wiley.https://doi.org/10.1111/pce.13475 

Lilja, A., Rodilla, V., Huyghe, M., Hannezo, E. B., Landragin, C., Renaud, O.,https://doi.org/10.1038/s41556-018-0108-1__Fré, S. (2018). Clonal analysis of Notc-expressing cells reveals the existence of unipotent stem cells that retain long-term plasticity in the embryonic mammary gland. Nature Cell Biology. Nature Publishing Group.https://doi.org/10.1038/s41556-018-0108-1 

Auzinger, T., Heidrich, W., &; Bickel, B. (2018). Computational design of nanostructural color for additive manufacturing. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/3197517.3201376 

Nakashima, K., Auzinger, T., Iarussi, E., Zhang, R., Igarashi, T., &; Bickel, B. (2018). CoreCavity: Interactive shell decomposition for fabrication with two-piece rigid molds. ACM Transaction on Graphics. ACM.https://doi.org/10.1145/3197517.3201341 

Reiter, J., Hilbe, C., Rand, D., Chatterjee, K., &; Nowak, M. (2018). Crosstalk in concurrent repeated games impedes direct reciprocity and requires stronger levels of forgiveness. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/s41467-017-02721-8 

Hu, H., Roth, F., Vandael, D. H., &; Jonas, P. M. (2018). Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons. Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2018.02.024 

Payne, P., Geyrhofer, L., Barton, N. H., &; Bollback, J. P. (2018). CRISPR-based herd immunity can limit phage epidemics in bacterial populations. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.32035 

Fulek, R., &; Tóth, C. D. (2018). Crossing minimization in perturbed drawings (Vol. 11282, pp. 229–241). Presented at the Graph Drawing and Network Visualization, Barcelona, Spain: Springer.https://doi.org/10.1007/978-3-030-04414-5_16 

Budanur, N. B., &; Hof, B. (2018). Complexity of the laminar-turbulent boundary in pipe flow. Physical Review Fluids. American Physical Society.https://doi.org/10.1103/PhysRevFluids.3.054401 

Akopyan, A., &; Segal Halevi, E. (2018). Counting blanks in polygonal arrangements. SIAM Journal on Discrete Mathematics. Society for Industrial and Applied Mathematics .https://doi.org/10.1137/16M110407X 

Payne, P., Geyrhofer, L., Barton, N. H., &; Bollback, J. P. (2018). Data from: CRISPR-based herd immunity limits phage epidemics in bacterial populations. Dryad.https://doi.org/10.5061/dryad.42n44 

Pull, C., Ugelvig, L. V., Wiesenhofer, F., Grasse, A. V., Tragust, S., Schmitt, T.,https://doi.org/10.7554/eLife.32073__Cremer, S. (2018). Destructive disinfection of infected brood prevents systemic disease spread in ant colonies. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.32073 

Sznurkowska, M., Hannezo, E. B., Azzarelli, R., Rulands, S., Nestorowa, S., Hindley, C.,https://doi.org/10.1016/j.devcel.2018.06.028__Simons, B. (2018). Defining lineage potential and fate behavior of precursors during pancreas development. Developmental Cell. Cell Press.https://doi.org/10.1016/j.devcel.2018.06.028 

Cucinotta, M., Manrique, S., Cuesta, C., Benková, E., Novák, O., &; Colombo, L. (2018). Cup-shaped Cotyledon1 (CU) and C regulate cytokinin homeostasis to determine ovule number in arabidopsis. Journal of Experimental Botany. Oxford University Press.https://doi.org/10.1093/jxb/ery281 

Kubiasová, K., Mik, V., Nisler, J., Hönig, M., Husidková, A., Spíchal, L.,https://doi.org/10.1016/j.phytochem.2018.02.015__Plíhalová, L. (2018). Design, synthesis and perception of fluorescently labeled isoprenoid cytokinins. Phytochemistry. Elsevier.https://doi.org/10.1016/j.phytochem.2018.02.015 

Hetterich, D., Yao, N., Serbyn, M., Pollmann, F., &; Trauzettel, B. (2018). Detection and characterization of many-body localization in central spin models. Physical Review B. American Physical Society.https://doi.org/10.1103/PhysRevB.98.161122 

Ratheesh, A., Bicher, J., Smutny, M., Veselá, J., Papusheva, E., Krens, G.,https://doi.org/10.1016/j.devcel.2018.04.002__Siekhaus, D. E. (2018). Drosophila TNF modulates tissue tension in the embryo to facilitate macrophage invasive migration. Developmental Cell. Elsevier.https://doi.org/10.1016/j.devcel.2018.04.002 

Varshney, A., &; Steinberg, V. (2018). Drag enhancement and drag reduction in viscoelastic flow. Physical Review Fluids. American Physical Society.https://doi.org/10.1103/PhysRevFluids.3.103302 

Granados, A., Pietsch, J., Cepeda Humerez, S. A., Farquhar, I., Tkadik, G., &; Swain, P. (2018). Distributed and dynamic intracellular organization of extracellular information. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1716659115 

Yamamoto, W., Wada, S., Nagano, M., Aoshima, K., Siekhaus, D. E., Toshima, J., &; Toshima, J. (2018). Distinct roles for plasma membrane PtdIns 4 P and PtdIns 4 5https://doi.org/10.1242/jcs.207696__during yeast receptor mediated endocytosis. Journal of Cell Science. Company of Biologists.https://doi.org/10.1242/jcs.207696 

Bakhirkin, A., Ferrere, T., &; Maler, O. (2018). Efficient parametric identification for STL. In Proceedings of the 21st International Conference on Hybrid Systems (pp. 177–186). Porto, Portugal: ACM.https://doi.org/10.1145/3178126.3178132 

Brázdil, T., Chatterjee, K., Kudera, A., Novotný, P., Velan, D., &; Zuleger, F. (2018). Efficient algorithms for asymptotic bounds on termination time in VASS (Vol. 8033, pp. 185–194). Presented at the LICS: Logic in Computer Science, Oxford, United Kingdom: IEEE.https://doi.org/10.1145/3209108.3209191 

Mohapatra, P., Rolinek, M., Jawahar, C. V., Kolmogorov, V., &; Kumar, M. P. (2018). Efficient optimization for rank-based loss functions. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 3693–3701). Salt Lake City, UT, USA: IEEE.https://doi.org/10.1109/cvpr.2018.00389 

Zibrov, A., Rao, P., Kometter, C., Li, J., Dean, C., Taniguchi, T.,https://doi.org/10.1103/PhysRevLett.121.167601__Young, A. (2018). Emergent dirac gullies and gully-symmetry-breaking quantum hall states in ABA trilayer graphene. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.121.167601 

Salari, V., Barzanjeh, S., Cifra, M., Simon, C., Scholkmann, F., Alirezaei, Z., &; Tuszynski, J. (2018). Electromagnetic fields and optomechanics In cancer diagnostics and treatment. Frontiers in Bioscience - Landmark. Frontiers in Bioscience.https://doi.org/10.2741/4651 

Matousek, J., Sedgwick, E., Tancer, M., &; Wagner, U. (2018). Embeddability in the 3-Sphere is decidable. Journal of the ACM. ACM.https://doi.org/10.1145/3078632 

Barton, N. H., &; Etheridge, A. (2018). Establishment in a new habitat by polygenic adaptation. Theoretical Population Biology. Academic Press.https://doi.org/10.1016/j.tpb.2017.11.007 

Hilbe, C., Simsa, S., Chatterjee, K., &; Nowak, M. (2018). Evolution of cooperation in stochastic games. Nature. Nature Publishing Group.https://doi.org/10.1038/s41586-018-0277-x 

Hönigschmid, P., Bykova, N., Schneider, R., Ivankov, D., &; Frishman, D. (2018). Evolutionary interplay between symbiotic relationships and patterns of signal peptide gain and loss. Genome Biology and Evolution. Oxford University Press.https://doi.org/10.1093/gbe/evy049 

Ringbauer, H., Kolesnikov, A., Field, D., &; Barton, N. H. (2018). Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.117.300638 

Sato, T., Wojtan, C., Thuerey, N., Igarashi, T., &; Ando, R. (2018). Extended narrow band FLIP for liquid simulations. Computer Graphics Forum. Wiley.https://doi.org/10.1111/cgf.13351 

Bodova, K., Priklopil, T., Field, D., Barton, N. H., &; Pickup, M. (2018). Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.118.300748 

Harrison, M., Arning, N., Kremer, L., Ylla, G., Belles, X., Bornberg Bauer, E.,https://doi.org/10.1002/jez.b.22824__Schal, C. (2018). Expansions of key protein families in the German cockroach highlight the molecular basis of its remarkable success as a global indoor pest. Journal of Experimental Zoology Part B: Molecular and Developmental Evolution. Wiley.https://doi.org/10.1002/jez.b.22824 

Fischer, J. L., &; Grün, G. (2018). Existence of positive solutions to stochastic thin-film equations. SIAM Journal on Mathematical Analysis. Society for Industrial and Applied Mathematics .https://doi.org/10.1137/16M1098796 

Bodova, K., Priklopil, T., Field, D., Barton, N. H., &; Pickup, M. (2018). Supplemental material for Bodova et al., 2018. Genetics Society of America.https://doi.org/10.25386/genetics.6148304.v1 

Kotlobay, A. A., Sarkisyan, K., Mokrushina, Y. A., Marcet-Houben, M., Serebrovskaya, E. O., Markina, N. M.,https://doi.org/10.1073/pnas.1803615115__Yampolsky, I. V. (2018). Genetically encodable bioluminescent system from fungi. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences.https://doi.org/10.1073/pnas.1803615115 

Salanenka, Y., Verstraeten, I., Löfke, C., Tabata, K., Naramoto, S., Glanc, M., &; Friml, J. (2018). Gibberellin DELLA signaling targets the retromer complex to redirect protein trafficking to the plasma membrane. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1721760115 

Shabazi, A., Kinnison, J., Vescovi, R., Du, M., Hill, R., Jösch, M. A.,https://doi.org/10.1038/s41598-018-32628-3__Scheirer, W. (2018). Flexible learning-free segmentation and reconstruction of neural volumes. Scientific Reports. Nature Publishing Group.https://doi.org/10.1038/s41598-018-32628-3 

Leithner, A. F., Renkawitz, J., de Vries, I., Hauschild, R., Haecker, H., &; Sixt, M. K. (2018). Fast and efficient genetic engineering of hematopoietic precursor cells for the study of dendritic cell migration. European Journal of Immunology. Wiley-Blackwell.https://doi.org/10.1002/eji.201747358 

Kutzer, M., Kurtz, J., &; Armitage, S. (2018). Genotype and diet affect resistance, survival, and fecundity but not fecundity tolerance. Journal of Evolutionary Biology. Wiley.https://doi.org/10.1111/jeb.13211 

Tarlungeanu, D.-C., &; Novarino, G. (2018). Genomics in neurodevelopmental disorders: an avenue to personalized medicine. Experimental &; Molecular Medicine. Springer Nature.https://doi.org/10.1038/s12276-018-0129-7 

Lundholm, D., &; Seiringer, R. (2018). Fermionic behavior of ideal anyons. Letters in Mathematical Physics. Springer.https://doi.org/10.1007/s11005-018-1091-y 

Richter, R., Baranova, N. S., Day, A., &; Kwok, J. (2018). Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets? Current Opinion in Structural Biology. Elsevier.https://doi.org/10.1016/j.sbi.2017.12.002 

Harrison, M., Jongepier, E., Robertson, H., Arning, N., Bitard Feildel, T., Chao, H.,https://doi.org/10.1038/s41559-017-0459-1__Bornberg Bauer, E. (2018). Hemimetabolous genomes reveal molecular basis of termite eusociality. Nature Ecology and Evolution. Springer Nature.https://doi.org/10.1038/s41559-017-0459-1 

Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., &; Trubenova, B. (2018). How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. Springer.https://doi.org/10.1007/s00453-017-0369-2 

Darrell, T., Lampert, C., Sebe, N., Wu, Y., &; Yan, Y. (2018). Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE.https://doi.org/10.1109/TPAMI.2018.2804998 

Harrison, M. C., Jongepier, E., Robertson, H. M., Arning, N., Bitard-Feildel, T., Chao, H.,https://doi.org/10.5061/dryad.51d4r__Bornberg-Bauer, E. (2018). Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality. Dryad.https://doi.org/10.5061/dryad.51d4r 

Arbel Raviv, M., &; Brown, T. A. (2018). Harnessing epoch-based reclamation for efficient range queries (Vol. 53, pp. 14–27). Presented at the PPoPP: Principles and Practice of Parallel Programming, Vienna, Austria: ACM.https://doi.org/10.1145/3178487.3178489 

Chen, T., Kula, B., Nagy, B., Barzan, R., Gall, A., Ehrlich, I., &; Kukley, M. (2018). In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit Glu. Cell Reports. Elsevier.https://doi.org/10.1016/j.celrep.2018.09.066 

Reversat, A., &; Sixt, M. K. (2018). IgM’s exit route. Journal of Experimental Medicine. Rockefeller University Press.https://doi.org/10.1084/jem.20181934 

Dodier, P., Frischer, J., Wang, W., Auzinger, T., Mallouhi, A., Serles, W.,https://doi.org/10.1016/j.wneu.2018.02.096__Bavinzski, G. (2018). Immediate flow disruption as a prognostic factor after flow diverter treatment long term experience with the pipeline embolization device. World Neurosurgery. Elsevier.https://doi.org/10.1016/j.wneu.2018.02.096 

Akopyan, A., &; Bobenko, A. (2018). Incircular nets and confocal conics. Transactions of the American Mathematical Society. American Mathematical Society.https://doi.org/10.1090/tran/7292 

Metzler, S., Schrempf, A., &; Heinze, J. (2018). Individual- and ejaculate-specific sperm traits in ant males. Journal of Insect Physiology. Elsevier.https://doi.org/10.1016/j.jinsphys.2017.12.003 

Avni, G., Henzinger, T. A., &; Ibsen-Jensen, R. (2018). Infinite-duration poorman-bidding games (Vol. 11316, pp. 21–36). Presented at the 14th International Conference on Web and Internet Economics, WINE, Oxford, UK: Springer.https://doi.org/10.1007/978-3-030-04612-5_2 

Dick, R., Zadrozny, K. K., Xu, C., Schur, F. K., Lyddon, T. D., Ricana, C. L.,https://doi.org/10.1038/s41586-018-0396-4__Vogt, V. (2018). Inositol phosphates are assembly co-factors for HIV-1. Nature. Nature Publishing Group.https://doi.org/10.1038/s41586-018-0396-4 

Kalinin, N., &; Shkolnikov, M. (2018). Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. AIMS.https://doi.org/10.3934/dcds.2018120 

Locatello, F., Dresdner, G., Khanna, R., Valera, I., &; Rätsch, G. (2018). Boosting black box variational inference. In Advances in Neural Information Processing Systems (Vol. 31). Montreal, Canada: Neural Information Processing Systems Foundation.

Locatello, F., Khanna, R., Ghosh, J., &; Rätsch, G. (2018). Boosting variational inference: An optimization perspective. In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (Vol. 84, pp. 464–472). Playa Blanca, Lanzarote: ML Research Press.