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5035 Publications
2018 | Journal Article | IST-REx-ID: 5672 | 
Reversat A, Sixt MK. 2018. IgM’s exit route. Journal of Experimental Medicine. 215(12), 2959–2961.
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| WoS
2018 | Journal Article | IST-REx-ID: 398
Dodier P, Frischer J, Wang W, Auzinger T, Mallouhi A, Serles W, Gruber A, Knosp E, Bavinzski G. 2018. Immediate flow disruption as a prognostic factor after flow diverter treatment long term experience with the pipeline embolization device. World Neurosurgery. 13, e568–e578.
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2018 | Journal Article | IST-REx-ID: 458 |
Akopyan A, Bobenko A. 2018. Incircular nets and confocal conics. Transactions of the American Mathematical Society. 370(4), 2825–2854.
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2018 | Conference Paper | IST-REx-ID: 5788 |
Avni G, Henzinger TA, Ibsen-Jensen R. 2018. Infinite-duration poorman-bidding games. 14th International Conference on Web and Internet Economics, WINE, LNCS, vol. 11316, 21–36.
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| arXiv
2018 | Journal Article | IST-REx-ID: 150 |
Dick R, Zadrozny KK, Xu C, Schur FK, Lyddon TD, Ricana CL, Wagner JM, Perilla JR, Ganser PBK, Johnson MC, Pornillos O, Vogt V. 2018. Inositol phosphates are assembly co-factors for HIV-1. Nature. 560(7719), 509–512.
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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. 38(6), 2827–2849.
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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. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 31.
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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. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. AISTATS: Conference on Artificial Intelligence and Statistics, PMLR, vol. 84, 464–472.
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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. International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
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| arXiv