S. Metzler, A. Schrempf, and J. Heinze, “Individual- and ejaculate-specific sperm traits in ant males,” Journal of Insect Physiology, vol. 107. Elsevier, pp. 284–290, 2018.
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G. Avni, T. A. Henzinger, and R. Ibsen-Jensen, “Infinite-duration poorman-bidding games,” presented at the 14th International Conference on Web and Internet Economics, WINE, Oxford, UK, 2018, vol. 11316, pp. 21–36.
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arXiv: 1804.04372

R. Dick et al., “Inositol phosphates are assembly co-factors for HIV-1,” Nature, vol. 560, no. 7719. Nature Publishing Group, pp. 509–512, 2018.
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N. Kalinin and M. Shkolnikov, “Introduction to tropical series and wave dynamic on them,” Discrete and Continuous Dynamical Systems- Series A, vol. 38, no. 6. AIMS, pp. 2827–2849, 2018.
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arXiv: 1706.03062

F. Locatello, G. Dresdner, R. Khanna, I. Valera, and G. Rätsch, “Boosting black box variational inference,” in Advances in Neural Information Processing Systems, Montreal, Canada, 2018, vol. 31.
LibreCat: https://research-explorer.ista.ac.at/record/14202
arXiv: 1806.02185

F. Locatello, R. Khanna, J. Ghosh, and G. Rätsch, “Boosting variational inference: An optimization perspective,” in Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, 2018, vol. 84, pp. 464–472.
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arXiv: 1708.01733

V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, and G. Rätsch, “SOM-VAE: Interpretable discrete representation learning on time series,” in International Conference on Learning Representations, New Orleans, LA, United States, 2018.
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arXiv: 1806.02199

A. Yurtsever, O. Fercoq, F. Locatello, and V. Cevher, “A conditional gradient framework for composite convex minimization with applications to semidefinite programming,” in Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 5727–5736.
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arXiv: 1804.08544

H. Sachdeva and N. H. Barton, “Introgression of a block of genome under infinitesimal selection,” Genetics, vol. 209, no. 4. Genetics Society of America, pp. 1279–1303, 2018.
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M. Obremski and M. Skórski, “Inverted leftover hash lemma,” presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA, 2018, vol. 2018.
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F. Locatello et al., “On matching pursuit and coordinate descent,” in Proceedings of the 35th International Conference on Machine Learning, 2018, vol. 80, pp. 3198–3207.
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arXiv: 1803.09539

B. Kragl and S. Qadeer, “Layered Concurrent Programs,” presented at the CAV: Computer Aided Verification, Oxford, UK, 2018, vol. 10981, pp. 79–102.
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Z. Gao et al., “KIR and ORESAR terminate flower receptivity by promoting cell death in the stigma of Arabidopsis,” Nature Plants, vol. 4, no. 6. Nature Publishing Group, pp. 365–375, 2018.
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K. Tomasek, T. Bergmiller, and C. C. Guet, “Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains,” Journal of Biotechnology, vol. 268. Elsevier, pp. 40–52, 2018.
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W. Chaudhry et al., “Leaky resistance and the conditions for the existence of lytic bacteriophage,” PLoS Biology, vol. 16, no. 8. Public Library of Science, 2018.
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N. Umetani and B. Bickel, “Learning three-dimensional flow for interactive aerodynamic design,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018.
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E. Bartocci, T. Ferrere, N. Manjunath, and D. Nickovic, “Localizing faults in simulink/stateflow models with STL,” presented at the HSCC: Hybrid Systems: Computation and Control, Porto, Portugal, 2018, pp. 197–206.
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J. Alt, L. Erdös, and T. H. Krüger, “Local inhomogeneous circular law,” Annals Applied Probability , vol. 28, no. 1. Institute of Mathematical Statistics, pp. 148–203, 2018.
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arXiv: 1612.07776 

A. Akopyan and A. Petrunin, “Long geodesics on convex surfaces,” Mathematical Intelligencer, vol. 40, no. 3. Springer, pp. 26–31, 2018.
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arXiv: 1702.05172

W. Chaudhry et al., “Numerical data used in figures.” Public Library of Science, 2018.
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M. Brown et al., “Lymphatic exosomes promote dendritic cell migration along guidance cues,” Journal of Cell Biology, vol. 217, no. 6. Rockefeller University Press, pp. 2205–2221, 2018.
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H. Robert et al., “Maternal auxin supply contributes to early embryo patterning in Arabidopsis,” Nature Plants, vol. 4, no. 8. Nature Publishing Group, pp. 548–553, 2018.
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K. Fiedorczuk and L. A. Sazanov, “Mammalian mitochondrial complex I structure and disease causing mutations,” Trends in Cell Biology, vol. 28, no. 10. Elsevier, pp. 835–867, 2018.
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K. Chatterjee, W. Dvorák, M. H. Henzinger, and V. Loitzenbauer, “Lower bounds for symbolic computation on graphs: Strongly connected components, liveness, safety, and diameter,” presented at the SODA: Symposium on Discrete Algorithms, New Orleans, Louisiana, United States, 2018, pp. 2341–2356.
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arXiv: 1711.09148

S. Barzanjeh, M. Aquilina, and A. Xuereb, “Manipulating the flow of thermal noise in quantum devices,” Physical Review Letters, vol. 120, no. 6. American Physical Society, 2018.
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arXiv: 1706.09051

S. Hross, F. J. Theis, M. K. Sixt, and J. Hasenauer, “Mechanistic description of spatial processes using integrative modelling of noise-corrupted imaging data,” Journal of the Royal Society Interface, vol. 15, no. 149. Royal Society Publishing, 2018.
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A. Varshney and V. Steinberg, “Mixing layer instability and vorticity amplification in a creeping viscoelastic flow,” Physical Review Fluids, vol. 3, no. 10. American Physical Society, 2018.
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J. Rybicki, E. Kisdi, and J. Anttila, “Model of bacterial toxin-dependent pathogenesis explains infective dose,” PNAS, vol. 115, no. 42. National Academy of Sciences, pp. 10690–10695, 2018.
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T. Alderighi, L. Malomo, D. Giorgi, N. Pietroni, B. Bickel, and P. Cignoni, “Metamolds: Computational design of silicone molds,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018.
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W. Zhang et al., “Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS,” Nature Chemical Biology, vol. 14, no. 9. Nature Publishing Group, pp. 861–869, 2018.
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J. Renkawitz, A. Reversat, A. F. Leithner, J. Merrin, and M. K. Sixt, “Micro-engineered ‘pillar forests’ to study cell migration in complex but controlled 3D environments,” in Methods in Cell Biology, vol. 147, Academic Press, 2018, pp. 79–91.
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D. C. Nunes Pinheiro and Y. Bellaïche, “Mechanical force-driven adherents junction remodeling and epithelial dynamics,” Developmental Cell, vol. 47, no. 1. Cell Press, pp. 3–19, 2018.
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C. Frick et al., “Nano-scale microfluidics to study 3D chemotaxis at the single cell level,” PLoS One, vol. 13, no. 6. Public Library of Science, 2018.
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R. M. Ceinos et al., “Mutations in blind cavefish target the light regulated circadian clock gene period 2,” Scientific Reports, vol. 8, no. 1. Nature Publishing Group, 2018.
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A. Elgyütt, T. Ferrere, and T. A. Henzinger, “Monitoring temporal logic with clock variables,” presented at the FORMATS: Formal Modeling and Analysis of Timed Systems, Beijing, China, 2018, vol. 11022, pp. 53–70.
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C. Lenzen and J. Rybicki, “Near-optimal self-stabilising counting and firing squads,” Distributed Computing. Springer, 2018.
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H. Edelsbrunner and M. Iglesias Ham, “Multiple covers with balls I: Inclusion–exclusion,” Computational Geometry: Theory and Applications, vol. 68. Elsevier, pp. 119–133, 2018.
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E. Redchenko, A. Makarov, and V. Yudson, “Nanoscopy of pairs of atoms by fluorescence in a magnetic field,”  Physical Review A - Atomic, Molecular, and Optical Physics, vol. 97, no. 4. American Physical Society, 2018.
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arXiv: 1712.10127

L. Zapata, O. Pich, L. Serrano, F. Kondrashov, S. Ossowski, and M. Schaefer, “Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome,” Genome Biology, vol. 19. BioMed Central, 2018.
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S. M. Truckenbrodt et al., “Newly produced synaptic vesicle proteins are preferentially used in synaptic transmission,” The EMBO Journal, vol. 37, no. 15. Wiley, 2018.
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L. Fan et al., “NHX antiporters regulate the pH of endoplasmic reticulum and auxin-mediated development,” Plant, Cell and Environment, vol. 41. Wiley-Blackwell, pp. 850–864, 2018.
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S. Altmeyer, “Non-linear dynamics and alternating ‘flip’ solutions in ferrofluidic Taylor-Couette flow,” Journal of Magnetism and Magnetic Materials, vol. 452. Elsevier, pp. 427–441, 2018.
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M. Huang, H. Fu, and K. Chatterjee, “New approaches for almost-sure termination of probabilistic programs,” presented at the 16th Asian Symposium on Programming Languages and Systems, APLAS, Wellington, New Zealand, 2018, vol. 11275, pp. 181–201.
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arXiv: 1806.06683

R. Sacco, E. Cacci, and G. Novarino, “Neural stem cells in neuropsychiatric disorders,” Current Opinion in Neurobiology, vol. 48, no. 2. Elsevier, pp. 131–138, 2018.
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L. Zapata, O. Pich, L. Serrano, F. Kondrashov, S. Ossowski, and M. Schaefer, “Additional file 2: Of negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome.” Springer Nature, 2018.
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L. Zapata, O. Pich, L. Serrano, F. Kondrashov, S. Ossowski, and M. Schaefer, “Additional file 1: Of negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome.” Springer Nature, 2018.
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J. Higareda Almaraz et al., “Norepinephrine triggers an immediate-early regulatory network response in primary human white adipocytes,” BMC Genomics, vol. 19, no. 1. BioMed Central, 2018.
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S. Dziembowski, K. Z. Pietrzak, and D. Wichs, “Non-malleable codes,” Journal of the ACM, vol. 65, no. 4. ACM, 2018.
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L. Carvalho et al., “Occluding junctions as novel regulators of tissue mechanics during wound repair,” Journal of Cell Biology, vol. 217, no. 12. Rockefeller University Press, pp. 4267–4283, 2018.
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F. Locatello, D. Vincent, I. Tolstikhin, G. Ratsch, S. Gelly, and B. Scholkopf, “Clustering meets implicit generative models,” in 6th International Conference on Learning Representations, Vancouver, Canada, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/14224
arXiv: 1804.11130