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5052 Publications

2018 | 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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | 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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | 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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 282 | OA
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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2018 | Conference Paper | IST-REx-ID: 108 | OA
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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2018 | 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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | Conference Paper | IST-REx-ID: 160 | OA
Kragl, B., & Qadeer, S. (2018). Layered Concurrent Programs (Vol. 10981, pp. 79–102). Presented at the CAV: Computer Aided Verification, Oxford, UK: Springer. https://doi.org/10.1007/978-3-319-96145-3_5
[Published Version] View | Files available | DOI | WoS
 
2018 | Journal Article | IST-REx-ID: 280
Gao, Z., Daneva, A., Salanenka, Y., Van Durme, M., Huysmans, M., Lin, Z., … Nowack, M. (2018). KIRA1 and ORESARA1 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
View | DOI | WoS
 
2018 | Journal Article | IST-REx-ID: 503
Tomasek, K., Bergmiller, T., & Guet, C. C. (2018). Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains. Journal of Biotechnology. Elsevier. https://doi.org/10.1016/j.jbiotec.2018.01.008
View | DOI | WoS
 
2018 | Journal Article | IST-REx-ID: 82 | OA
Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J., … Levin, B. (2018). Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2005971
[Published Version] View | Files available | DOI | WoS
 

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