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10945 Publications


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 | Published | Conference Paper | IST-REx-ID: 18330
Alexandroni, G., Podolsky, Y., Greenspan, H., Remez, T., Litany, O., Bronstein, A. M., & Giryes, R. (2017). White matter fiber representation using continuous dictionary learning. In 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (Vol. 10433, pp. 566–574). Quebec City, QC, Canada: Springer Nature. https://doi.org/10.1007/978-3-319-66182-7_65
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2017 | Published | Journal Article | IST-REx-ID: 8445 | OA
Kurauskas, V., Izmailov, S. A., Rogacheva, O. N., Hessel, A., Ayala, I., Woodhouse, J., … Schanda, P. (2017). Slow conformational exchange and overall rocking motion in ubiquitin protein crystals. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-017-00165-8
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2017 | Published | Conference Paper | IST-REx-ID: 18329
Boyarski, A., Bronstein, A. M., & Bronstein, M. M. (2017). Subspace least squares multidimensional scaling. In International Conference on Scale Space and Variational Methods in Computer Vision (Vol. 10302, pp. 681–693). Kolding, Denmark: Springer Nature. https://doi.org/10.1007/978-3-319-58771-4_54
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2017 | Published | Conference Paper | IST-REx-ID: 18435 | OA
Ovsjanikov, M., Corman, E., Bronstein, M., Rodolà, E., Ben-Chen, M., Guibas, L., … Bronstein, A. M. (2017). Computing and processing correspondences with functional maps. In ACM SIGGRAPH 2017 Courses. Los Angeles, CA, United States: ACM. https://doi.org/10.1145/3084873.3084877
[Preprint] View | DOI | Download Preprint (ext.)
 

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
[Published Version] View | Files available | DOI
 

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
[Submitted Version] View | Files available | DOI | WoS
 

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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2017 | Published | Conference Paper | IST-REx-ID: 683 | OA
Lubiw, A., Masárová, Z., & Wagner, U. (2017). A proof of the orbit conjecture for flipping edge labelled triangulations (Vol. 77). Presented at the SoCG: Symposium on Computational Geometry, Brisbane, Australia: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.SoCG.2017.49
[Published Version] View | Files available | DOI
 

2017 | Published | Conference Paper | IST-REx-ID: 911 | OA
Royer, A., Kolesnikov, A., & Lampert, C. (2017). Probabilistic image colorization (p. 85.1-85.12). Presented at the BMVC: British Machine Vision Conference, London, United Kingdom: BMVA Press. https://doi.org/10.5244/c.31.85
[Published Version] View | Files available | DOI | arXiv
 

2017 | Published | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov, A., & Lampert, C. (2017). PixelCNN models with auxiliary variables for natural image modeling. In 34th International Conference on Machine Learning (Vol. 70, pp. 1905–1914). Sydney, Australia: JMLR.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 

2017 | Published | Conference Paper | IST-REx-ID: 1108 | OA
Zimin, A., & Lampert, C. (2017). Learning theory for conditional risk minimization (Vol. 54, pp. 213–222). Presented at the AISTATS: Artificial Intelligence and Statistics, Fort Lauderdale, FL, United States: ML Research Press.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 

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