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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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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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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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Gao, Z., Daneva, A., Salanenka, Y., Van Durme, M., Huysmans, M., Lin, Z.,https://doi.org/10.1038/s41477-018-0160-7__Nowack, M. (2018). KIR and ORESAR terminate flower receptivity by promoting cell death in the stigma of Arabidopsis. Nature Plants. Nature Publishing Group.https://doi.org/10.1038/s41477-018-0160-7 
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