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5048 Publications

2017 | Conference Paper | IST-REx-ID: 609 | OA
Alwen, J. F., & Tackmann, B. (2017). Moderately hard functions: Definition, instantiations, and applications. In Y. Kalai & L. Reyzin (Eds.) (Vol. 10677, pp. 493–526). Presented at the TCC: Theory of Cryptography, Baltimore, MD, United States: Springer. https://doi.org/10.1007/978-3-319-70500-2_17
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2017 | Journal Article | IST-REx-ID: 610 | OA
Goaoc, X., Mabillard, I., Paták, P., Patakova, Z., Tancer, M., & Wagner, U. (2017). On generalized Heawood inequalities for manifolds: A van Kampen–Flores type nonembeddability result. Israel Journal of Mathematics. Springer. https://doi.org/10.1007/s11856-017-1607-7
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2017 | Journal Article | IST-REx-ID: 611
Bradley, D., Xu, P., Mohorianu, I., Whibley, A., Field, D., Tavares, H., … Coen, E. (2017). Evolution of flower color pattern through selection on regulatory small RNAs. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aao3526
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2017 | Journal Article | IST-REx-ID: 613 | OA
Chait, R. P., Ruess, J., Bergmiller, T., Tkačik, G., & Guet, C. C. (2017). Shaping bacterial population behavior through computer interfaced control of individual cells. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-01683-1
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2017 | Journal Article | IST-REx-ID: 615 | OA
Erdös, L., & Schnelli, K. (2017). Universality for random matrix flows with time dependent density. Annales de l’institut Henri Poincare (B) Probability and Statistics. Institute of Mathematical Statistics. https://doi.org/10.1214/16-AIHP765
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2017 | Book Chapter | IST-REx-ID: 623
Hill Yardin, E., Mckeown, S., Novarino, G., & Grabrucker, A. (2017). Extracerebral dysfunction in animal models of autism spectrum disorder. In M. Schmeisser & T. Boekers (Eds.), Translational Anatomy and Cell Biology of Autism Spectrum Disorder (Vol. 224, pp. 159–187). Springer. https://doi.org/10.1007/978-3-319-52498-6_9
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2017 | Journal Article | IST-REx-ID: 626 | OA
Barton, N. H., Etheridge, A., & Véber, A. (2017). The infinitesimal model: Definition derivation and implications. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2017.06.001
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2017 | Book Chapter | IST-REx-ID: 625 | OA
Chatterjee, K., Doyen, L., & Henzinger, T. A. (2017). The cost of exactness in quantitative reachability. In L. Aceto, G. Bacci, A. Ingólfsdóttir, A. Legay, & R. Mardare (Eds.), Models, Algorithms, Logics and Tools (Vol. 10460, pp. 367–381). Springer. https://doi.org/10.1007/978-3-319-63121-9_18
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2017 | Journal Article | IST-REx-ID: 624 | OA
Nikolic, N., Didara, Z., & Moll, I. (2017). MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ. PeerJ. https://doi.org/10.7717/peerj.3830
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2017 | Conference Paper | IST-REx-ID: 628 | OA
Chatterjee, K., Fu, H., & Murhekar, A. (2017). Automated recurrence analysis for almost linear expected runtime bounds. In R. Majumdar & V. Kunčak (Eds.) (Vol. 10426, pp. 118–139). Presented at the CAV: Computer Aided Verification, Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-319-63387-9_6
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2017 | Book Chapter | IST-REx-ID: 629
Loose, M., Zieske, K., & Schwille, P. (2017). Reconstitution of protein dynamics involved in bacterial cell division. In Prokaryotic Cytoskeletons (Vol. 84, pp. 419–444). Springer. https://doi.org/10.1007/978-3-319-53047-5_15
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2017 | Conference Paper | IST-REx-ID: 630 | OA
Sauermann, S., David, V., Schlögl, A., Egelkraut, R., Frohner, M., Pohn, B., … Mense, A. (2017). Biosignals standards and FHIR: The way to go (Vol. 236, pp. 356–362). Presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria: IOS Press. https://doi.org/10.3233/978-1-61499-759-7-356
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2017 | Journal Article | IST-REx-ID: 632 | OA
Lewin, M., Nam, P., & Rougerie, N. (2017). A note on 2D focusing many boson systems. Proceedings of the American Mathematical Society. American Mathematical Society. https://doi.org/10.1090/proc/13468
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2017 | Book Chapter | IST-REx-ID: 634
Schroeder, J., Deliu, E., Novarino, G., & Schmeisser, M. (2017). Genetic and pharmacological reversibility of phenotypes in mouse models of autism spectrum disorder. In M. Schmeisser & T. Boekers (Eds.), Translational Anatomy and Cell Biology of Autism Spectrum Disorder (Vol. 224, pp. 189–211). Springer. https://doi.org/10.1007/978-3-319-52498-6_10
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2017 | Conference Paper | IST-REx-ID: 633
Bak, S., Bogomolov, S., Henzinger, T. A., & Kumar, A. (2017). Challenges and tool implementation of hybrid rapidly exploring random trees. In A. Abate & S. Bodo (Eds.) (Vol. 10381, pp. 83–89). Presented at the NSV: Numerical Software Verification, Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-319-63501-9_6
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2017 | Conference Paper | IST-REx-ID: 635 | OA
Alwen, J. F., Chen, B., Pietrzak, K. Z., Reyzin, L., & Tessaro, S. (2017). Scrypt is maximally memory hard. In J.-S. Coron & J. Buus Nielsen (Eds.) (Vol. 10212, pp. 33–62). Presented at the EUROCRYPT: Theory and Applications of Cryptographic Techniques, Paris, France: Springer. https://doi.org/10.1007/978-3-319-56617-7_2
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2017 | Conference Paper | IST-REx-ID: 636 | OA
Bakhirkin, A., Ferrere, T., Maler, O., & Ulus, D. (2017). On the quantitative semantics of regular expressions over real-valued signals. In A. Abate & G. Geeraerts (Eds.) (Vol. 10419, pp. 189–206). Presented at the FORMATS: Formal Modelling and Analysis of Timed Systems, Berlin, Germany: Springer. https://doi.org/10.1007/978-3-319-65765-3_11
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2017 | Conference (Editor) | IST-REx-ID: 638
Bogomolov, S., Martel, M., & Prabhakar, P. (Eds.). (2017). Numerical Software Verification (Vol. 10152). Presented at the NSV: Numerical Software Verification, Toronto, ON, Canada: Springer. https://doi.org/10.1007/978-3-319-54292-8
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2017 | Conference Paper | IST-REx-ID: 640 | OA
Alwen, J. F., Blocki, J., & Pietrzak, K. Z. (2017). Depth-robust graphs and their cumulative memory complexity. In J.-S. Coron & J. Buus Nielsen (Eds.) (Vol. 10212, pp. 3–32). Presented at the EUROCRYPT: Theory and Applications of Cryptographic Techniques, Paris, France: Springer. https://doi.org/10.1007/978-3-319-56617-7_1
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2017 | Conference Paper | IST-REx-ID: 641
Trajkovska, V., Swoboda, P., Åström, F., & Petra, S. (2017). Graphical model parameter learning by inverse linear programming. In F. Lauze, Y. Dong, & A. Bjorholm Dahl (Eds.) (Vol. 10302, pp. 323–334). Presented at the SSVM: Scale Space and Variational Methods in Computer Vision, Kolding, Denmark: Springer. https://doi.org/10.1007/978-3-319-58771-4_26
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