Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018;40(5):1029-1031. doi:10.1109/TPAMI.2018.2804998
LibreCat: https://research-explorer.ista.ac.at/record/321
DOI: 10.1109/TPAMI.2018.2804998
WoS: 000428901200001

Harrison MC, Jongepier E, Robertson HM, et al. Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality. 2018. doi:10.5061/dryad.51d4r
LibreCat: https://research-explorer.ista.ac.at/record/9841
DOI: 10.5061/dryad.51d4r

Arbel Raviv M, Brown TA. Harnessing epoch-based reclamation for efficient range queries. In: Vol 53. ACM; 2018:14-27. doi:10.1145/3178487.3178489
LibreCat: https://research-explorer.ista.ac.at/record/397
DOI: 10.1145/3178487.3178489
WoS: 000446161100002

Chen T, Kula B, Nagy B, et al. In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit Glu. Cell Reports. 2018;25(4):852-861.e7. doi:10.1016/j.celrep.2018.09.066
LibreCat: https://research-explorer.ista.ac.at/record/32
DOI: 10.1016/j.celrep.2018.09.066
WoS: 000448219500005

Reversat A, Sixt MK. IgM’s exit route. Journal of Experimental Medicine. 2018;215(12):2959-2961. doi:10.1084/jem.20181934
LibreCat: https://research-explorer.ista.ac.at/record/5672
DOI: 10.1084/jem.20181934
WoS: 000451920600002

Dodier P, Frischer J, Wang W, et al. Immediate flow disruption as a prognostic factor after flow diverter treatment long term experience with the pipeline embolization device. World Neurosurgery. 2018;13:e568-e578. doi:10.1016/j.wneu.2018.02.096
LibreCat: https://research-explorer.ista.ac.at/record/398
DOI: 10.1016/j.wneu.2018.02.096
WoS: 000432942700070

Akopyan A, Bobenko A. Incircular nets and confocal conics. Transactions of the American Mathematical Society. 2018;370(4):2825-2854. doi:10.1090/tran/7292
LibreCat: https://research-explorer.ista.ac.at/record/458
DOI: 10.1090/tran/7292
WoS: 000423197800019

Metzler S, Schrempf A, Heinze J. Individual- and ejaculate-specific sperm traits in ant males. Journal of Insect Physiology. 2018;107:284-290. doi:10.1016/j.jinsphys.2017.12.003
LibreCat: https://research-explorer.ista.ac.at/record/426
DOI: 10.1016/j.jinsphys.2017.12.003
WoS: 000434751100034

Avni G, Henzinger TA, Ibsen-Jensen R. Infinite-duration poorman-bidding games. In: Vol 11316. Springer; 2018:21-36. doi:10.1007/978-3-030-04612-5_2
LibreCat: https://research-explorer.ista.ac.at/record/5788
DOI: 10.1007/978-3-030-04612-5_2
WoS: 000865933000002
arXiv: 1804.04372

Dick R, Zadrozny KK, Xu C, et al. Inositol phosphates are assembly co-factors for HIV-1. Nature. 2018;560(7719):509–512. doi:10.1038/s41586-018-0396-4
LibreCat: https://research-explorer.ista.ac.at/record/150
DOI: 10.1038/s41586-018-0396-4
WoS: 000442483400046
PMID: 30158708

Kalinin N, Shkolnikov M. Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. 2018;38(6):2827-2849. doi:10.3934/dcds.2018120
LibreCat: https://research-explorer.ista.ac.at/record/303
DOI: 10.3934/dcds.2018120
WoS: 000438818400007
arXiv: 1706.03062

Locatello F, Dresdner G, Khanna R, Valera I, Rätsch G. Boosting black box variational inference. In: Advances in Neural Information Processing Systems. Vol 31. Neural Information Processing Systems Foundation; 2018.
LibreCat: https://research-explorer.ista.ac.at/record/14202
arXiv: 1806.02185

Locatello F, Khanna R, Ghosh J, Rätsch G. Boosting variational inference: An optimization perspective. In: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. Vol 84. ML Research Press; 2018:464-472.
LibreCat: https://research-explorer.ista.ac.at/record/14201
arXiv: 1708.01733

Fortuin V, Hüser M, Locatello F, Strathmann H, Rätsch G. SOM-VAE: Interpretable discrete representation learning on time series. In: International Conference on Learning Representations. ; 2018.
LibreCat: https://research-explorer.ista.ac.at/record/14198
arXiv: 1806.02199

Yurtsever A, Fercoq O, Locatello F, Cevher V. 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. ML Research Press; 2018:5727-5736.
LibreCat: https://research-explorer.ista.ac.at/record/14203
arXiv: 1804.08544

Sachdeva H, Barton NH. Introgression of a block of genome under infinitesimal selection. Genetics. 2018;209(4):1279-1303. doi:10.1534/genetics.118.301018
LibreCat: https://research-explorer.ista.ac.at/record/282
DOI: 10.1534/genetics.118.301018
WoS: 000440014100020

Obremski M, Skórski M. Inverted leftover hash lemma. In: Vol 2018. IEEE; 2018. doi:10.1109/ISIT.2018.8437654
LibreCat: https://research-explorer.ista.ac.at/record/108
DOI: 10.1109/ISIT.2018.8437654
WoS: 000448139300368

Locatello F, Raj A, Karimireddy SP, et al. On matching pursuit and coordinate descent. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:3198-3207.
LibreCat: https://research-explorer.ista.ac.at/record/14204
arXiv: 1803.09539

Kragl B, Qadeer S. Layered Concurrent Programs. In: Vol 10981. Springer; 2018:79-102. doi:10.1007/978-3-319-96145-3_5
LibreCat: https://research-explorer.ista.ac.at/record/160
DOI: 10.1007/978-3-319-96145-3_5
WoS: 000491481600005

Gao Z, Daneva A, Salanenka Y, et al. KIR and ORESAR terminate flower receptivity by promoting cell death in the stigma of Arabidopsis. Nature Plants. 2018;4(6):365-375. doi:10.1038/s41477-018-0160-7
LibreCat: https://research-explorer.ista.ac.at/record/280
DOI: 10.1038/s41477-018-0160-7
WoS: 000435571000017