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378 Publications


2018 |Published| Journal Article | IST-REx-ID: 1092 | OA
Mohammadi, F., Uhler, C., Wang, C., & Yu, J. (2018). Generalized permutohedra from probabilistic graphical models. SIAM Journal on Discrete Mathematics. SIAM. https://doi.org/10.1137/16M107894X
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2018 |Published| Journal Article | IST-REx-ID: 11508 | OA
Matthee, J. J., Sobral, D., Gronke, M., Paulino-Afonso, A., Stefanon, M., & Röttgering, H. (2018). Confirmation of double peaked Lyα emission at z = 6.593: Witnessing a galaxy directly contributing to the reionisation of the universe. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/201833528
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2018 |Published| Journal Article | IST-REx-ID: 11584 | OA
Matthee, J. J., & Schaye, J. (2018). Star-forming galaxies are predicted to lie on a fundamental plane of mass, star formation rate, and α-enhancement. Monthly Notices of the Royal Astronomical Society: Letters. Oxford University Press. https://doi.org/10.1093/mnrasl/sly093
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 |Published| Journal Article | IST-REx-ID: 2015 | OA
Raskutti, G., & Uhler, C. (2018). Learning directed acyclic graphs based on sparsest permutations. STAT. Wiley. https://doi.org/10.1002/sta4.183
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 |Published| Journal Article | IST-REx-ID: 306 | OA
De Martino, A., & De Martino, D. (2018). An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon. Elsevier. https://doi.org/10.1016/j.heliyon.2018.e00596
[Published Version] View | Files available | DOI
 

2018 |Published| Conference Paper | IST-REx-ID: 6164
Koshti, G., Biswas, R., Largeteau-Skapin, G., Zrour, R., Andres, E., & Bhowmick, P. (2018). Sphere construction on the FCC grid interpreted as layered hexagonal grids in 3D. In 19th International Workshop (Vol. 11255, pp. 82–96). Cham: Springer. https://doi.org/10.1007/978-3-030-05288-1_7
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2018 |Published| Journal Article | IST-REx-ID: 703 | OA
Shekhovtsov, A., Swoboda, P., & Savchynskyy, B. (2018). Maximum persistency via iterative relaxed inference with graphical models. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/TPAMI.2017.2730884
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2018 |Published| Journal Article | IST-REx-ID: 7722
Zeng, J., de Vlaming, R., Wu, Y., Robinson, M. R., Lloyd-Jones, L. R., Yengo, L., … Yang, J. (2018). Signatures of negative selection in the genetic architecture of human complex traits. Nature Genetics. Springer Nature. https://doi.org/10.1038/s41588-018-0101-4
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2018 |Published| Conference Paper | IST-REx-ID: 7812 | OA
Polino, A., Pascanu, R., & Alistarh, D.-A. (2018). Model compression via distillation and quantization. In 6th International Conference on Learning Representations. Vancouver, Canada.
[Published Version] View | Files available | arXiv
 

2018 |Published| Journal Article | IST-REx-ID: 12607 | OA
Buri, P., & Pellicciotti, F. (2018). Aspect controls the survival of ice cliffs on debris-covered glaciers. PNAS. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1713892115
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2018 |Published| Thesis | IST-REx-ID: 201 | OA
Iglesias Ham, M. (2018). Multiple covers with balls. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_1026
[Published Version] View | Files available | DOI
 

2018 |Published| Journal Article | IST-REx-ID: 410 | OA
Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., & Cox, D. (2018). A micro-CT-based method for quantitative brain lesion characterization and electrode localization. Scientific Reports. Nature Publishing Group. https://doi.org/10.1038/s41598-018-23247-z
[Published Version] View | Files available | DOI | WoS
 

2018 |Published| Journal Article | IST-REx-ID: 399 | OA
Napiórkowski, M. M., Reuvers, R., & Solovej, J. (2018). Calculation of the critical temperature of a dilute Bose gas in the Bogoliubov approximation. EPL. IOP Publishing Ltd. https://doi.org/10.1209/0295-5075/121/10007
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2018 |Published| Conference Paper | IST-REx-ID: 273 | OA
Mohapatra, P., Rolinek, M., Jawahar, C. V., Kolmogorov, V., & Kumar, M. P. (2018). Efficient optimization for rank-based loss functions. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 3693–3701). Salt Lake City, UT, USA: IEEE. https://doi.org/10.1109/cvpr.2018.00389
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2018 |Published| Journal Article | IST-REx-ID: 563 | OA
Ringbauer, H., Kolesnikov, A., Field, D., & Barton, N. H. (2018). Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.117.300638
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 

2018 |Published| Conference Paper | IST-REx-ID: 14202 | OA
Locatello, F., Dresdner, G., Khanna, R., Valera, I., & Rätsch, G. (2018). Boosting black box variational inference. In Advances in Neural Information Processing Systems (Vol. 31). Montreal, Canada: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 |Published| Conference Paper | IST-REx-ID: 14201 | OA
Locatello, F., Khanna, R., Ghosh, J., & Rätsch, G. (2018). Boosting variational inference: An optimization perspective. In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (Vol. 84, pp. 464–472). Playa Blanca, Lanzarote: ML Research Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2018 |Published| Journal Article | IST-REx-ID: 13 | OA
Alderighi, T., Malomo, L., Giorgi, D., Pietroni, N., Bickel, B., & Cignoni, P. (2018). Metamolds: Computational design of silicone molds. ACM Trans. Graph. ACM. https://doi.org/10.1145/3197517.3201381
[Submitted Version] View | Files available | DOI | WoS
 

2018 |Published| Book Chapter | IST-REx-ID: 153
Renkawitz, J., Reversat, A., Leithner, A. F., Merrin, J., & Sixt, M. K. (2018). Micro-engineered “pillar forests” to study cell migration in complex but controlled 3D environments. In Methods in Cell Biology (Vol. 147, pp. 79–91). Academic Press. https://doi.org/10.1016/bs.mcb.2018.07.004
View | DOI | WoS | PubMed | Europe PMC
 

2018 |Published| Journal Article | IST-REx-ID: 276 | OA
Frick, C., Dettinger, P., Renkawitz, J., Jauch, A., Berger, C., Recher, M., … Mehling, M. (2018). Nano-scale microfluidics to study 3D chemotaxis at the single cell level. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0198330
[Published Version] View | Files available | DOI | WoS
 

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