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Ringbauer, H. (2018). Inferring recent demography from spatial genetic structure. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_963 
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Erdös, L., &; Schröder, D. J. (2018). Fluctuations of rectangular young diagrams of interlacing wigner eigenvalues. International Mathematics Research Notices. Oxford University Press.https://doi.org/10.1093/imrn/rnw330 
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Avni, G., Guha, S., &; Kupferman, O. (2018). An abstraction-refinement methodology for reasoning about network games. Games. MDPI AG.https://doi.org/10.3390/g9030039 
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Chatterjee, K., Pavlogiannis, A., Kößler, A., &; Schmid, U. (2018). Automated competitive analysis of real time scheduling with graph games. Real-Time Systems. Springer.https://doi.org/10.1007/s11241-017-9293-4 
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Moser, T. (2018). Point interactions in systems of fermions. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1043 
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Tejos, R., Rodríguez Furlán, C., Adamowski, M., Sauer, M., Norambuena, L., &; Friml, J. (2018). PATELLINS are regulators of auxin mediated PIN1 relocation and plant development in Arabidopsis thaliana. Journal of Cell Science. Company of Biologists.https://doi.org/10.1242/jcs.204198 
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Vukusi, L. (2018). Charge sensing and spin relaxation times of holes in Ge hut wires. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_1047 
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Chen, C. (2018). Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_997 
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Dotterrer, D., Kaufman, T., &; Wagner, U. (2018). On expansion and topological overlap. Geometriae Dedicata. Springer.https://doi.org/10.1007/s10711-017-0291-4 
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Nejjar, P. (2018). Transition to shocks in TASEP and decoupling of last passage times. Latin American Journal of Probability and Mathematical Statistics. Instituto Nacional de Matematica Pura e Aplicada.https://doi.org/10.30757/ALEA.v15-49 
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Turner, C. J., Michailidis, A., Abanin, D. A., Serbyn, M., &; Papi, Z. (2018). Quantum scarred eigenstates in a Rydberg atom chain: Entanglement, breakdown of thermalization, and stability to perturbations. Physical Review B. American Physical Society.https://doi.org/10.1103/PhysRevB.98.155134 
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Choueiri, G. H., Lopez Alonso, J. M., &; Hof, B. (2018). Exceeding the asymptotic limit of polymer drag reduction. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.120.124501 
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Marin Valencia, I., Novarino, G., Johansen, A., Rosti, B., Issa, M., Musaev, D.,https://doi.org/10.1136/jmedgenet-2017-104627__Gleeson, J. (2018). A homozygous founder mutation in TRAPPB associates with a neurodevelopmental disorder characterised by microcephaly epilepsy and autistic features. Journal of Medical Genetics. BMJ Publishing Group.https://doi.org/10.1136/jmedgenet-2017-104627 
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Virosztek, D. (2018). Maps on probability measures preserving certain distances - a survey and some new results. Acta Scientiarum Mathematicarum. Springer Nature.https://doi.org/10.14232/actasm-018-753-y 
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Lewi, M., Lieb, É., &; Seiringer, R. (2018). Statistical mechanics of the uniform electron gas. Journal de l’Ecole Polytechnique - Mathematiques. Ecole Polytechnique.https://doi.org/10.5802/jep.64 
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Sahoo, S., Lampert, C., &; Martius, G. S. (2018). Learning equations for extrapolation and control. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 4442–4450). Stockholm, Sweden: ML Research Press.
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Kuzborskij, I., &; Lampert, C. (2018). Data-dependent stability of stochastic gradient descent. In Proceedings of the 35 th International Conference on Machine Learning (Vol. 80, pp. 2815–2824). Stockholm, Sweden: ML Research Press.
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Danowski, P. (2018). An Austrian proposal for the Classification of Open Access Tuples (COAT) - Distinguish different Open Access types beyond colors.https://doi.org/10.5281/zenodo.1244154 
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Stroeymeyt, N., Grasse, A. V., Crespi, A., Mersch, D., Cremer, S., &; Keller, L. (2018). Social network plasticity decreases disease transmission in a eusocial insect. Science. AAAS.https://doi.org/10.1126/science.aat4793 
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Palmer, A., Chait, R. P., &; Kishony, R. (2018). Nonoptimal gene expression creates latent potential for antibiotic resistance. Molecular Biology and Evolution. Oxford University Press.https://doi.org/10.1093/molbev/msy163 
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Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., &; Cox, D. (2018). A micro-CT-based method for characterising lesions and locating electrodes in small animal brains. Journal of Visualized Experiments. MyJove Corporation.https://doi.org/10.3791/58585 
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Midya, B., &; Konotop, V. (2018). Coherent-perfect-absorber and laser for bound states in a continuum. Optics Letters. Optica  Publishing Group.https://doi.org/10.1364/OL.43.000607 
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Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J., &; Bierne, N. (2018). The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. PeerJ. PeerJ.https://doi.org/10.7717/peerj.5198 
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Alhaija, H., Sellent, A., Kondermann, D., &; Rother, C. (2018). Graph matching problems for GraphFlow – 6D Large Displacement Scene Flow. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:82 
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Botella Soler, V., Deny, S., Martius, G. S., Marre, O., &; Tkadik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1006057 
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Nikolic, N., Bergmiller, T., Vandervelde, A., Albanese, T., Gelens, L., &; Moll, I. (2018). Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic Acids Research. Oxford University Press.https://doi.org/10.1093/nar/gky079 
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Picard, M. A. L., Cosseau, C., Ferré, S., Quack, T., Grevelding, C., Couté, Y., &; Vicoso, B. (2018). Evolution of gene dosage on the Z-chromosome of schistosome parasites. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.35684 
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Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., &; Tkadik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:98 
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Ellis, T., Field, D., &; Barton, N. H. (2018). Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. Wiley.https://doi.org/10.1111/1755-0998.12782 
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Ellis, T. (2018). Data and Python scripts supporting Python package FAPS. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:95 
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Bergmiller, T., &; Nikolic, N. (2018). Time-lapse microscopy data. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:74 
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De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., &; Tkadik, G. (2018). Statistical mechanics for metabolic networks during steady state growth. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-018-05417-9 
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De Martino, D., &; Tkadik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.”https://doi.org/10.15479/AT:ISTA:62__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:62 
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Kelemen, R. K., &; Vicoso, B. (2018). Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.117.300513 
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Pavlogiannis, A., Tkadlec, J., Chatterjee, K., &; Nowak, M. A. (2018). Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory. Communications Biology. Springer Nature.https://doi.org/10.1038/s42003-018-0078-7 
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Fraisse, C. (2018). Supplementary Files for “Pleiotropy modulates the efficacy of selection in Drosophila melanogaster.”https://doi.org/10.15479/at:ista:/5757__Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:/5757 
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Alt, J. (2018). Dyson equation and eigenvalue statistics of random matrices. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_1040 
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Rzadkowski, W., &; Lemeshko, M. (2018). Effect of a magnetic field on molecule–solvent angular momentum transfer. The Journal of Chemical Physics. AIP Publishing.https://doi.org/10.1063/1.5017591 
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Jeschke, S., Skrivan, T., Mueller Fischer, M., Chentanez, N., Macklin, M., &; Wojtan, C. (2018). Water surface wavelets. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/3197517.3201336 
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Bighin, G., Tscherbul, T., &; Lemeshko, M. (2018). Diagrammatic Monte Carlo approach to angular momentum in quantum many-particle systems. Physical Review Letters. American Physical Society.https://doi.org/10.1103/physrevlett.121.165301 
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arXiv: 1803.07990

Bighin, G., Tscherbul, T., &; Lemeshko, M. (2018). Diagrammatic Monte Carlo approach to rotating molecular impurities. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.121.165301 
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arXiv: 1803.07990

Adamowski, M., Narasimhan, M., Kania, U., Glanc, M., De Jaeger, G., &; Friml, J. (2018). A functional study of AUXILIN LIK and 2 two putative clathrin uncoating factors in Arabidopsis. The Plant Cell. American Society of Plant Biologists.https://doi.org/10.1105/tpc.17.00785 
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PMID: 29511054

Brown, M., Assen, F. P., Leithner, A. F., Abe, J., Schachner, H., Asfour, G.,https://doi.org/10.1126/science.aal3662__Kerjaschki, D. (2018). Lymph node blood vessels provide exit routes for metastatic tumor cell dissemination in mice. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.aal3662 
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Tarlungeanu, D.-C. (2018). The branched chain amino acids in autism spectrum disorders . Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_992 
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Case, M. J. (2018). From the left to the right: A tale of asymmetries, environments, and hippocampal development. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1032 
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Laukoter, S. (2018). Role of genomic imprinting in cerebral cortex development. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1057 
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Leithner, A. F. (2018). Branched actin networks in dendritic cell biology. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_998 
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Hurny, A. (2018). Identification and characterization of novel auxin-cytokinin cross-talk components. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_930 
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Gridchyn, I. (2018). Reactivation content is important for consolidation of spatial memory. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1042 
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Belyaeva, V. (2018). Transcriptional regulation of macrophage migration in the Drosophila melanogaster embryo . Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1064 
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Mckenzie, C. (2018). Design and characterization of methods and biological components to realize synthetic neurotransmission . Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:th_1055 
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Capek, D. (2018). Optogenetic Frizzled 7 reveals a permissive function of Wnt/PCP signaling in directed mesenchymal cell migration. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_1031 
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Steinrück, M. (2018). The influence of sequence context on the evolution of bacterial gene expression. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1059 
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Hollmann, A., Jirovec, D., Kucharski, M., Kissinger, D., Fischer, G., &; Schreiber, L. R. (2018). 30 GHz-voltage controlled oscillator operating at 4 K. Review of Scientific Instruments. AIP Publishing.https://doi.org/10.1063/1.5038258 
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arXiv: 1804.09522

Lukacisinova, M. (2018). Genetic determinants of antibiotic resistance evolution. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1072 
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György, A., Roblek, M., Ratheesh, A., Valosková, K., Belyaeva, V., Wachner, S.,https://doi.org/10.1534/g3.117.300452__Siekhaus, D. E. (2018). Tools allowing independent visualization and genetic manipulation of Drosophila melanogaster macrophages and surrounding tissues. : Genes, Genomes, Genetics. Genetics Society of America.https://doi.org/10.1534/g3.117.300452 
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Luján, R., Aguado, C., Ciruela, F., Cózar, J., Kleindienst, D., De La Ossa, L.,https://doi.org/10.1007/s00429-017-1568-y__Fukazawa, Y. (2018). Differential association of GABAB receptors with their effector ion channels in Purkinje cells. Brain Structure and Function. Springer.https://doi.org/10.1007/s00429-017-1568-y 
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Espinoza Martinez, C., Guzmán, J., Zhang, X., &; Jonas, P. M. (2018). Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/s41467-018-06899-3 
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Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R., &; Velner, Y. (2018). Ergodic mean-payoff games for the analysis of attacks in crypto-currencies (Vol. 118). Presented at the CONCUR: Conference on Concurrency Theory, Beijing, China: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2018.11 
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DOI: 10.4230/LIPIcs.CONCUR.2018.11
arXiv: 1806.03108

Chatterjee, K., Goharshady, A. K., &; Velner, Y. (2018). Quantitative analysis of smart contracts (Vol. 10801, pp. 739–767). Presented at the ESOP: European Symposium on Programming, Thessaloniki, Greece: Springer.https://doi.org/10.1007/978-3-319-89884-1_26 
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Goharshady, A. K., Behrouz, A., &; Chatterjee, K. (2018). Secure Credit Reporting on the Blockchain. In Proceedings of the IEEE International Conference on Blockchain (pp. 1343–1348). Halifax, Canada: IEEE.https://doi.org/10.1109/Cybermatics_2018.2018.00231 
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arXiv: 1805.09104

Chatterjee, K., Ibsen-Jensen, R., Goharshady, A. K., &; Pavlogiannis, A. (2018). Algorithms for algebraic path properties in concurrent systems of constant treewidth components. ACM Transactions on Programming Languages and Systems. Association for Computing Machinery (ACM).https://doi.org/10.1145/3210257 
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arXiv: 1510.07565

Chatterjee, K., Fu, H., Goharshady, A. K., &; Okati, N. (2018). Computational approaches for stochastic shortest path on succinct MDPs. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (Vol. 2018, pp. 4700–4707). Stockholm, Sweden: IJCAI.https://doi.org/10.24963/ijcai.2018/653 
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arXiv: 1804.08984

Kühnen, J., Scarselli, D., Schaner, M., &; Hof, B. (2018). Relaminarization by steady modification of the streamwise velocity profile in a pipe. Flow Turbulence and Combustion. Springer.https://doi.org/10.1007/s10494-018-9896-4 
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Kühnen, J., Song, B., Scarselli, D., Budanur, N. B., Riedl, M., Willis, A.,https://doi.org/10.1038/s41567-017-0018-3__Hof, B. (2018). Destabilizing turbulence in pipe flow. Nature Physics. Nature Publishing Group.https://doi.org/10.1038/s41567-017-0018-3 
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Prat, T., Hajny, J., Grunewald, W., Vasileva, M. K., Molnar, G., Tejos, R.,https://doi.org/10.1371/journal.pgen.1007177__Friml, J. (2018). WRK is a component of the transcriptional network mediating auxin feedback on PIN polarity. PLoS Genetics. Public Library of Science.https://doi.org/10.1371/journal.pgen.1007177 
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Grones, P., Abas, M. F., Hajny, J., Jones, A., Waidmann, S., Kleine Vehn, J., &; Friml, J. (2018). PID/WAG-mediated phosphorylation of the Arabidopsis PIN3 auxin transporter mediates polarity switches during gravitropism. Scientific Reports. Springer.https://doi.org/10.1038/s41598-018-28188-1 
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