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arXiv: 1708.01733

Fortuin, V., Hüser, M., Locatello, F., Strathmann, H., &; Rätsch, G. (2018). SOM-VAE: Interpretable discrete representation learning on time series. In International Conference on Learning Representations. New Orleans, LA, United States.
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arXiv: 1806.02199

Yurtsever, A., Fercoq, O., Locatello, F., &; Cevher, V. (2018). A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 5727–5736). Stockholm, Sweden: ML Research Press.
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arXiv: 1804.08544

Sachdeva, H., &; Barton, N. H. (2018). Introgression of a block of genome under infinitesimal selection. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.118.301018 
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Obremski, M., &; Skórski, M. (2018). Inverted leftover hash lemma (Vol. 2018). Presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA: IEEE.https://doi.org/10.1109/ISIT.2018.8437654 
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Locatello, F., Raj, A., Karimireddy, S. P., Rätsch, G., Schölkopf, B., Stich, S. U., &; Jaggi, M. (2018). On matching pursuit and coordinate descent. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 3198–3207). ML Research Press.
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arXiv: 1803.09539

Kragl, B., &; Qadeer, S. (2018). Layered Concurrent Programs (Vol. 10981, pp. 79–102). Presented at the CAV: Computer Aided Verification, Oxford, UK: Springer.https://doi.org/10.1007/978-3-319-96145-3_5 
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Gao, Z., Daneva, A., Salanenka, Y., Van Durme, M., Huysmans, M., Lin, Z.,https://doi.org/10.1038/s41477-018-0160-7__Nowack, M. (2018). KIR and ORESAR terminate flower receptivity by promoting cell death in the stigma of Arabidopsis. Nature Plants. Nature Publishing Group.https://doi.org/10.1038/s41477-018-0160-7 
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Tomasek, K., Bergmiller, T., &; Guet, C. C. (2018). Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains. Journal of Biotechnology. Elsevier.https://doi.org/10.1016/j.jbiotec.2018.01.008 
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Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J.,https://doi.org/10.1371/journal.pbio.2005971__Levin, B. (2018). Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.2005971 
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Umetani, N., &; Bickel, B. (2018). Learning three-dimensional flow for interactive aerodynamic design. ACM Trans. Graph. ACM.https://doi.org/10.1145/3197517.3201325 
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Bartocci, E., Ferrere, T., Manjunath, N., &; Nickovic, D. (2018). Localizing faults in simulink/stateflow models with STL (pp. 197–206). Presented at the HSCC: Hybrid Systems: Computation and Control, Porto, Portugal: Association for Computing Machinery, Inc.https://doi.org/10.1145/3178126.3178131 
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Alt, J., Erdös, L., &; Krüger, T. H. (2018). Local inhomogeneous circular law. Annals Applied Probability . Institute of Mathematical Statistics.https://doi.org/10.1214/17-AAP1302 
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arXiv: 1612.07776 

Akopyan, A., &; Petrunin, A. (2018). Long geodesics on convex surfaces. Mathematical Intelligencer. Springer.https://doi.org/10.1007/s00283-018-9795-5 
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arXiv: 1702.05172

Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J.,https://doi.org/10.1371/journal.pbio.2005971.s008__Levin, B. (2018). Numerical data used in figures. Public Library of Science.https://doi.org/10.1371/journal.pbio.2005971.s008 
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Brown, M., Johnson, L., Leone, D., Májek, P., Vaahtomeri, K., Senfter, D.,https://doi.org/10.1083/jcb.201612051__Kerjaschki, D. (2018). Lymphatic exosomes promote dendritic cell migration along guidance cues. Journal of Cell Biology. Rockefeller University Press.https://doi.org/10.1083/jcb.201612051 
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Robert, H., Park, C., Gutièrrez, C., Wójcikowska, B., Pbndík, A., Novák, O.,https://doi.org/10.1038/s41477-018-0204-z__Laux, T. (2018). Maternal auxin supply contributes to early embryo patterning in Arabidopsis. Nature Plants. Nature Publishing Group.https://doi.org/10.1038/s41477-018-0204-z 
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Fiedorczuk, K., &; Sazanov, L. A. (2018). Mammalian mitochondrial complex I structure and disease causing mutations. Trends in Cell Biology. Elsevier.https://doi.org/10.1016/j.tcb.2018.06.006 
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Chatterjee, K., Dvorák, W., Henzinger, M. H., &; Loitzenbauer, V. (2018). Lower bounds for symbolic computation on graphs: Strongly connected components, liveness, safety, and diameter (pp. 2341–2356). Presented at the SODA: Symposium on Discrete Algorithms, New Orleans, Louisiana, United States: ACM.https://doi.org/10.1137/1.9781611975031.151 
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arXiv: 1711.09148

Barzanjeh, S., Aquilina, M., &; Xuereb, A. (2018). Manipulating the flow of thermal noise in quantum devices. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.120.060601 
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arXiv: 1706.09051