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10559 Publications


2018 | Published | Journal Article | IST-REx-ID: 13474 | OA
Smith, N., Götberg, Y. L. L., & de Mink, S. E. (2018). Extreme isolation of WN3/O3 stars and implications for their evolutionary origin as the elusive stripped binaries. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stx3181
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2018 | Published | Journal Article | IST-REx-ID: 13475 | OA
Götberg, Y. L. L., de Mink, S. E., Groh, J. H., Kupfer, T., Crowther, P. A., Zapartas, E., & Renzo, M. (2018). Spectral models for binary products: Unifying subdwarfs and Wolf-Rayet stars as a sequence of stripped-envelope stars. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/201732274
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2018 | Published | Journal Article | IST-REx-ID: 136 | OA
Suri, B., Tithof, J., Grigoriev, R., & Schatz, M. (2018). Unstable equilibria and invariant manifolds in quasi-two-dimensional Kolmogorov-like flow. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.98.023105
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2018 | Published | Journal Article | IST-REx-ID: 139 | OA
Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J., & Bierne, N. (2018). The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. PeerJ. PeerJ. https://doi.org/10.7717/peerj.5198
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2018 | Published | Journal Article | IST-REx-ID: 14003 | OA
Baykusheva, D. R., & Wörner, H. J. (2018). Chiral discrimination through bielliptical high-harmonic spectroscopy. Physical Review X. American Physical Society. https://doi.org/10.1103/physrevx.8.031060
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2018 | Published | Conference Paper | IST-REx-ID: 14198 | OA
Fortuin, V., Hüser, M., Locatello, F., Strathmann, H., & Rätsch, G. (2018). SOM-VAE: Interpretable discrete representation learning on time series. In International Conference on Learning Representations. New Orleans, LA, United States.
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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.
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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.
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2018 | Published | Conference Paper | IST-REx-ID: 14203 | OA
Yurtsever, A., Fercoq, O., Locatello, F., & Cevher, V. (2018). A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 5727–5736). Stockholm, Sweden: ML Research Press.
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2018 | Published | Conference Paper | IST-REx-ID: 14204 | OA
Locatello, F., Raj, A., Karimireddy, S. P., Rätsch, G., Schölkopf, B., Stich, S. U., & Jaggi, M. (2018). On matching pursuit and coordinate descent. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 3198–3207). ML Research Press.
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2018 | Published | Conference Paper | IST-REx-ID: 14224 | OA
Locatello, F., Vincent, D., Tolstikhin, I., Ratsch, G., Gelly, S., & Scholkopf, B. (2018). Clustering meets implicit generative models. In 6th International Conference on Learning Representations. Vancouver, Canada.
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2018 | Published | Journal Article | IST-REx-ID: 14284 | OA
Bräuning, B., Bertosin, E., Praetorius, F. M., Ihling, C., Schatt, A., Adler, A., … Groll, M. (2018). Structure and mechanism of the two-component α-helical pore-forming toxin YaxAB. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-018-04139-2
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2018 | Published | Thesis | IST-REx-ID: 14306 | OA
Praetorius, F. M. (2018). Genetically encoding the spatial arrangement of DNA and proteins in self-assembling nanostructures. Technische Universität München.
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2018 | Submitted | Preprint | IST-REx-ID: 14327 | OA
Locatello, F., Vincent, D., Tolstikhin, I., Rätsch, G., Gelly, S., & Schölkopf, B. (n.d.). Competitive training of mixtures of independent deep generative models. arXiv. https://doi.org/10.48550/arXiv.1804.11130
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2018 | Published | Conference Paper | IST-REx-ID: 144
Ferrere, T., Henzinger, T. A., & Saraç, E. (2018). A theory of register monitors (Vol. Part F138033, pp. 394–403). Presented at the LICS: Logic in Computer Science, Oxford, UK: IEEE. https://doi.org/10.1145/3209108.3209194
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2018 | Published | Journal Article | IST-REx-ID: 145 | OA
Truckenbrodt, S. M., Viplav, A., Jähne, S., Vogts, A., Denker, A., Wildhagen, H., … Rizzoli, S. (2018). Newly produced synaptic vesicle proteins are preferentially used in synaptic transmission. The EMBO Journal. Wiley. https://doi.org/10.15252/embj.201798044
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2018 | Published | Journal Article | IST-REx-ID: 146 | OA
Shi, C. L., von Wangenheim, D., Herrmann, U., Wildhagen, M., Kulik, I., Kopf, A., … Aalen, R. B. (2018). The dynamics of root cap sloughing in Arabidopsis is regulated by peptide signalling. Nature Plants. Nature Publishing Group. https://doi.org/10.1038/s41477-018-0212-z
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2018 | Published | Book Chapter | IST-REx-ID: 10864 | OA
Kazda, A., Kozik, M., McKenzie, R., & Moore, M. (2018). Absorption and directed Jónsson terms. In J. Czelakowski (Ed.), Don Pigozzi on Abstract Algebraic Logic, Universal Algebra, and Computer Science (Vol. 16, pp. 203–220). Cham: Springer Nature. https://doi.org/10.1007/978-3-319-74772-9_7
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2018 | Published | Journal Article | IST-REx-ID: 10880 | OA
Yuuta, M., & Koshiba-Takeuchi, K. (2018). Significance of whole-genome duplications on the emergence of evolutionary novelties. Briefings in Functional Genomics. Oxford University Press. https://doi.org/10.1093/bfgp/ely007
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2018 | Published | Conference Paper | IST-REx-ID: 10882 | OA
Uijlings, J., Konyushkova, K., Lampert, C., & Ferrari, V. (2018). Learning intelligent dialogs for bounding box annotation. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9175–9184). Salt Lake City, UT, United States: IEEE. https://doi.org/10.1109/cvpr.2018.00956
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