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Correggi, M., Giuliani, A., &; Seiringer, R. (2014). Validity of spin-wave theory for the quantum Heisenberg model. EPL. IOP Publishing Ltd.https://doi.org/10.1209/0295-5075/108/20003 
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Hernandez Lobato, D., Sharmanska, V., Kersting, K., Lampert, C., &; Quadrianto, N. (2014). Mind the nuisance: Gaussian process classification using privileged noise. In Advances in Neural Information Processing Systems (Vol. 1, pp. 837–845). Montreal, Canada: Neural Information Processing Systems.
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Inglés Prieto, Á., Gschaider-Reichhart, E., Schelch, K., Janovjak, H. L., &; Grusch, M. (2014). The optogenetic promise for oncology: Episode I. Molecular and Cellular Oncology. Taylor &; Francis.https://doi.org/10.4161/23723548.2014.964045 
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Dachman Soled, D., Fuchsbauer, G., Mohassel, P., &; O’Neill, A. (2014). Enhanced chosen-ciphertext security and applications. In H. Krawczyk (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8383, pp. 329–344). Buenos Aires, Argentina: Springer.https://doi.org/10.1007/978-3-642-54631-0_19 
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Kupczok, A., &; Bollback, J. P. (2014). Motif depletion in bacteriophages infecting hosts with CRISPR systems. BMC Genomics. BioMed Central.https://doi.org/10.1186/1471-2164-15-663 
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Bauer, U., Kerber, M., &; Reininghaus, J. (2014). Distributed computation of persistent homology. In C.https://doi.org/10.1137/1.9781611973198.4__McGeoch &; U. Meyer (Eds.), Proceedings of the Workshop on Algorithm Engineering and Experiments (pp. 31–38). Portland, USA: Society of Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611973198.4 
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Jonas, P. M., &; Lisman, J. (2014). Structure, function and plasticity of hippocampal dentate gyrus microcircuits. Frontiers in Neural Circuits. Frontiers Research Foundation.https://doi.org/10.3389/fncir.2014.00107 
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Bauer, U., Kerber, M., &; Reininghaus, J. (2014). Clear and Compress: Computing Persistent Homology in Chunks. In P.-T. Bremer, I. Hotz, V. Pascucci, &; R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III (pp. 103–117). Springer.https://doi.org/10.1007/978-3-319-04099-8_7 
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Kicheva, A., Bollenbach, M. T., Ribeiro, A., Pérez Valle, H., Lovell Badge, R., Episkopou, V., &; Briscoe, J. (2014). Coordination of progenitor specification and growth in mouse and chick spinal cord. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.1254927 
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Yu, F., Rybar, M., Uhler, C., &; Fienberg, S. (2014). Differentially-private logistic regression for detecting multiple-SNP association in GWAS databases. In J. Domingo Ferrer (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8744, pp. 170–184). Ibiza, Spain: Springer.https://doi.org/10.1007/978-3-319-11257-2_14 
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arXiv: 1407.8067

Hermanns, H., Krdál, J., &; Kretinsky, J. (2014). Probabilistic bisimulation: Naturally on distributions. In P. Baldan &; D. Gorla (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8704, pp. 249–265). Rome, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.1007/978-3-662-44584-6_18 
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Aminof, B., Kotek, T., Rubin, S., Spegni, F., &; Veith, H. (2014). Parameterized model checking of rendezvous systems. In P. Baldan &; D. Gorla (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8704, pp. 109–124). Rome, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.1007/978-3-662-44584-6_9 
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Bellare, M., &; Fuchsbauer, G. (2014). Policy-based signatures. In H. Krawczyk (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8383, pp. 520–537). Buenos Aires, Argentina: Springer.https://doi.org/10.1007/978-3-642-54631-0_30 
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Kühnen, J., Holzner, M., Hof, B., &; Kuhlmann, H. (2014). Experimental investigation of transitional flow in a toroidal pipe. Journal of Fluid Mechanics. Cambridge University Press.https://doi.org/10.1017/jfm.2013.603 
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arXiv: 1508.06546

Dubas, E., Moravdíková, J., Libantová, J., Matusíková, I., Benková, E., Zur, I., &; Krzewska, M. (2014). The influence of heat stress on auxin distribution in transgenic B napus microspores and microspore derived embryos. Protoplasma. Springer.https://doi.org/10.1007/s00709-014-0616-1 
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Hu, H., Gan, J., &; Jonas, P. M. (2014). Fast-spiking parvalbumin^+ GABAergic interneurons: From cellular design to microcircuit function. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.1255263 
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Raveendran, K., Wojtan, C., Thuerey, N., &; Türk, G. (2014). Blending liquids. In ACM Transactions on Graphics (Vol. 33). Vancouver, Canada: ACM.https://doi.org/10.1145/2601097.2601126 
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Morvant, E., Habrard, A., &; Ayache, S. (2014). Majority vote of diverse classifiers for late fusion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8621, pp. 153–162). Joensuu, Finland: Springer.https://doi.org/10.1007/978-3-662-44415-3_16 
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arXiv: 1404.7796

Ganguly, A., Petrov, T., &; Koeppl, H. (2014). Markov chain aggregation and its applications to combinatorial reaction networks. Journal of Mathematical Biology. Springer.https://doi.org/10.1007/s00285-013-0738-7 
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Mazur, E., Kurczyñska, E., &; Friml, J. (2014). Cellular events during interfascicular cambium ontogenesis in inflorescence stems of Arabidopsis. Protoplasma. Springer.https://doi.org/10.1007/s00709-014-0620-5 
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Rubio, M., Fukazawa, Y., Kamasawa, N., Clarkson, C., Molnár, E., &; Shigemoto, R. (2014). Target- and input-dependent organization of AMPA and NMDA receptors in synaptic connections of the cochlear nucleus. Journal of Comparative Neurology. Wiley-Blackwell.https://doi.org/10.1002/cne.23654 
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Bauer, U., &; Lesnick, M. (2014). Induced matchings of barcodes and the algebraic stability of persistence. In Proceedings of the Annual Symposium on Computational Geometry (pp. 355–364). Kyoto, Japan: ACM.https://doi.org/10.1145/2582112.2582168 
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Matousek, J., &; Wagner, U. (2014). On Gromov’s method of selecting heavily covered points. Discrete &; Computational Geometry. Springer.https://doi.org/10.1007/s00454-014-9584-7 
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Bauer, U., Ge, X., &; Wang, Y. (2014). Measuring distance between Reeb graphs. In Proceedings of the Annual Symposium on Computational Geometry (pp. 464–473). Kyoto, Japan: ACM.https://doi.org/10.1145/2582112.2582169 
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Bauer, U., &; Edelsbrunner, H. (2014). The morse theory of cech and Delaunay filtrations. In Proceedings of the Annual Symposium on Computational Geometry (pp. 484–490). Kyoto, Japan: ACM.https://doi.org/10.1145/2582112.2582167 
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Majumdar, R., Sixt, M. K., &; Parent, C. (2014). New paradigms in the establishment and maintenance of gradients during directed cell migration. Current Opinion in Cell Biology. Elsevier.https://doi.org/10.1016/j.ceb.2014.05.010 
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PMID: 24959970

Chai, X., Münzner, G., Zhao, S., Tinnes, S., Kowalski, J., Häussler, U.,https://doi.org/10.1093/cercor/bht067__Frotscher, M. (2014). Epilepsy-induced motility of differentiated neurons. Cerebral Cortex. Oxford University Press.https://doi.org/10.1093/cercor/bht067 
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Kelleher, J., Etheridge, A., &; Barton, N. H. (2014). Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. Academic Press.https://doi.org/10.1016/j.tpb.2014.05.001 
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Barton, N. H., Novak, S., &; Paixao, T. (2014). Diverse forms of selection in evolution and computer science. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1410107111 
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Kolesnikov, A., Guillaumin, M., Ferrari, V., &; Lampert, C. (2014). Closed-form approximate CRF training for scalable image segmentation. In D. Fleet, T. Pajdla, B. Schiele, &; T. Tuytelaars (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8691, pp. 550–565). Zurich, Switzerland: Springer.https://doi.org/10.1007/978-3-319-10578-9_36 
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Khamis, S., &; Lampert, C. (2014). CoConut: Co-classification with output space regularization. In Proceedings of the British Machine Vision Conference 2014. Nottingham, UK: BMVA Press.
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Sydorov, V., Sakurada, M., &; Lampert, C. (2014). Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1402–1409). Columbus, USA: IEEE.https://doi.org/10.1109/CVPR.2014.182 
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De Vladar, H., &; Barton, N. H. (2014). Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.113.159111 
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Ajanki, O. H., Erdös, L., &; Krüger, T. H. (2014). Local semicircle law with imprimitive variance matrix. Electronic Communications in Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/ECP.v19-3121 
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Studer, D., Zhao, S., Chai, X., Jonas, P. M., Graber, W., Nestel, S., &; Frotscher, M. (2014). Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. Nature Protocols. Nature Publishing Group.https://doi.org/10.1038/nprot.2014.099 
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