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4960 Publications
2018 | Journal Article | IST-REx-ID: 426
Metzler, S., Schrempf, A., & Heinze, J. (2018). Individual- and ejaculate-specific sperm traits in ant males. Journal of Insect Physiology. Elsevier. https://doi.org/10.1016/j.jinsphys.2017.12.003
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2018 | Conference Paper | IST-REx-ID: 5788 | 
Avni, G., Henzinger, T. A., & Ibsen-Jensen, R. (2018). Infinite-duration poorman-bidding games (Vol. 11316, pp. 21–36). Presented at the 14th International Conference on Web and Internet Economics, WINE, Oxford, UK: Springer. https://doi.org/10.1007/978-3-030-04612-5_2
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| arXiv
2018 | Journal Article | IST-REx-ID: 150 |
Dick, R., Zadrozny, K. K., Xu, C., Schur, F. K., Lyddon, T. D., Ricana, C. L., … Vogt, V. (2018). Inositol phosphates are assembly co-factors for HIV-1. Nature. Nature Publishing Group. https://doi.org/10.1038/s41586-018-0396-4
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| PubMed | Europe PMC
2018 | Journal Article | IST-REx-ID: 303 |
Kalinin, N., & Shkolnikov, M. (2018). Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. AIMS. https://doi.org/10.3934/dcds.2018120
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| arXiv
2018 | Conference Paper | IST-REx-ID: 14202 |
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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| arXiv
2018 | Conference Paper | IST-REx-ID: 14201 |
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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| arXiv
2018 | Conference Paper | IST-REx-ID: 14198 |
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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| arXiv
2018 | Conference Paper | IST-REx-ID: 14203 |
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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| arXiv
2018 | Journal Article | IST-REx-ID: 282 |
Sachdeva, H., & Barton, N. H. (2018). Introgression of a block of genome under infinitesimal selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301018
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2018 | Conference Paper | IST-REx-ID: 108 |
Obremski, M., & Skórski, M. (2018). Inverted leftover hash lemma (Vol. 2018). Presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA: IEEE. https://doi.org/10.1109/ISIT.2018.8437654
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