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6161 Publications

2017 | Published | Journal Article | IST-REx-ID: 1018
Dobisova, T., Hrdinova, V., Cuesta, C., Michlickova, S., Urbankova, I., Hejatkova, R., … Hejátko, J. (2017). Light regulated expression of sensor histidine kinase CKI1 controls cytokinin related development. Plant Physiology. American Society of Plant Biologists. https://doi.org/10.1104/pp.16.01964
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2017 | Published | Journal Article | IST-REx-ID: 1030 | OA
Villányi, M. (2017). Ein freies Bibliothekssystem für wissenschaftliche Bibliotheken – Werkstattbericht der IST Austria Library. Informationspraxis. Verein Informationspraxis . https://doi.org/10.11588/ip.2017.1.35227
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2017 | Published | Journal Article | IST-REx-ID: 10418 | OA
Mciver, A., Morgan, C., Kaminski, B. L., & Katoen, J. P. (2017). A new proof rule for almost-sure termination. Proceedings of the ACM on Programming Languages. Los Angeles, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3158121
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
2017 | Published | Journal Article | IST-REx-ID: 9506 | OA
Zilberman, D. (2017). An evolutionary case for functional gene body methylation in plants and animals. Genome Biology. Springer Nature. https://doi.org/10.1186/s13059-017-1230-2
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2017 | Published | Journal Article | IST-REx-ID: 953 | OA
Charlesworth, D., Barton, N. H., & Charlesworth, B. (2017). The sources of adaptive evolution. Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The. https://doi.org/10.1098/rspb.2016.2864
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 
2017 | Research Data Reference | IST-REx-ID: 9707 | OA
Riccio, P., Cebrián, C., Zong, H., Hippenmeyer, S., & Costantini, F. (2017). Data from: Ret and Etv4 promote directed movements of progenitor cells during renal branching morphogenesis. Dryad. https://doi.org/10.5061/dryad.pk16b
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2017 | Published | Conference Paper | IST-REx-ID: 989
Maas, J., Rumpf, M., & Simon, S. (2017). Transport based image morphing with intensity modulation. In F. Lauze, Y. Dong, & A. Bjorholm Dahl (Eds.) (Vol. 10302, pp. 563–577). 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_45
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2017 | Published | Journal Article | IST-REx-ID: 991
Chen, C., & Jonas, P. M. (2017). Synaptotagmins: That’s why so many. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2017.05.011
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2017 | Published | Journal Article | IST-REx-ID: 9445 | OA
Lyons, D. B., & Zilberman, D. (2017). DDM1 and Lsh remodelers allow methylation of DNA wrapped in nucleosomes. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.30674
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2017 | Research Data | IST-REx-ID: 5568 | OA
Hahn, D. (2017). Source codes: Brittle fracture simulation with boundary elements for computer graphics. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:73
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2017 | Published | Thesis | IST-REx-ID: 992 | OA
Rolinek, M. (2017). Complexity of constraint satisfaction. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_815
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2017 | Published | Conference Paper | IST-REx-ID: 915 | OA
Swoboda, P., & Andres, B. (2017). A message passing algorithm for the minimum cost multicut problem (Vol. 2017, pp. 4990–4999). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE. https://doi.org/10.1109/CVPR.2017.530
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2017 | Published | Conference Paper | IST-REx-ID: 916 | OA
Swoboda, P., Rother, C., Abu Alhaija, C., Kainmueller, D., & Savchynskyy, B. (2017). A study of lagrangean decompositions and dual ascent solvers for graph matching (Vol. 2017, pp. 7062–7071). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE. https://doi.org/10.1109/CVPR.2017.747
[Submitted Version] View | Files available | DOI | WoS
 
2017 | Published | Conference Paper | IST-REx-ID: 917 | OA
Swoboda, P., Kuske, J., & Savchynskyy, B. (2017). A dual ascent framework for Lagrangean decomposition of combinatorial problems (Vol. 2017, pp. 4950–4960). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE. https://doi.org/10.1109/CVPR.2017.526
[Submitted Version] View | Files available | DOI | WoS
 
2017 | Published | Conference Paper | IST-REx-ID: 274 | OA
Kolmogorov, V. (2017). A faster approximation algorithm for the Gibbs partition function. In Proceedings of the 31st Conference On Learning Theory (Vol. 75, pp. 228–249). ML Research Press.
[Published Version] View | Files available | arXiv
 
2017 | Published | Journal Article | IST-REx-ID: 1004 | OA
Ötvös, K., & Benková, E. (2017). Spatiotemporal mechanisms of root branching. Current Opinion in Genetics & Development. Elsevier. https://doi.org/10.1016/j.gde.2017.03.010
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2017 | Published | Journal Article | IST-REx-ID: 1163
Wysokiński, M., & Kaczmarczyk, J. (2017). Unconventional superconductivity in generalized Hubbard model role of electron–hole symmetry breaking terms. Journal of Physics: Condensed Matter. IOP Publishing. https://doi.org/10.1088/1361-648X/aa532f
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2017 | Published | Journal Article | IST-REx-ID: 1007 | OA
Lang, M., & Sontag, E. (2017). Zeros of nonlinear systems with input invariances. Automatica. International Federation of Automatic Control. https://doi.org/10.1016/j.automatica.2017.03.030
[Published Version] View | Files available | DOI | WoS
 
2017 | Published | Conference Paper | IST-REx-ID: 6517 | OA
Fulek, R. (2017). Embedding graphs into embedded graphs (Vol. 92). Presented at the ISAAC: International Symposium on Algorithms and Computation, Phuket, Thailand: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.ISAAC.2017.34
[Published Version] View | Files available | DOI
 
2017 | Published | Journal Article | IST-REx-ID: 730
Savin, C., & Tkačik, G. (2017). Maximum entropy models as a tool for building precise neural controls. Current Opinion in Neurobiology. Elsevier. https://doi.org/10.1016/j.conb.2017.08.001
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