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5052 Publications

2019 | Conference Paper | IST-REx-ID: 6931 | OA
Nowak, T., & Rybicki, J. (2019). Byzantine approximate agreement on graphs. In 33rd International Symposium on Distributed Computing (Vol. 146, p. 29:1--29:17). Budapest, Hungary: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPICS.DISC.2019.29
[Published Version] View | Files available | DOI | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6985 | OA
Hasani, R., Amini, A., Lechner, M., Naser, F., Grosu, R., & Rus, D. (2019). Response characterization for auditing cell dynamics in long short-term memory networks. In Proceedings of the International Joint Conference on Neural Networks. Budapest, Hungary: IEEE. https://doi.org/10.1109/ijcnn.2019.8851954
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 7007 | OA
Mondelli, M., Hassani, S. H., & Urbanke, R. (2019). A new coding paradigm for the primitive relay channel. Algorithms. MDPI. https://doi.org/10.3390/a12100218
[Published Version] View | Files available | DOI | arXiv
 
2019 | Conference Paper | IST-REx-ID: 7035 | OA
Geher, G. P., Titkos, T., & Virosztek, D. (2019). Dirac masses and isometric rigidity. In Kyoto RIMS Kôkyûroku (Vol. 2125, pp. 34–41). Kyoto, Japan: Research Institute for Mathematical Sciences, Kyoto University.
[Submitted Version] View | Download Submitted Version (ext.)
 
2019 | Book (Editor) | IST-REx-ID: 7171
Kersting, K., Lampert, C., & Rothkopf, C. (Eds.). (2019). Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt (1st ed.). Wiesbaden: Springer Nature. https://doi.org/10.1007/978-3-658-26763-6
View | Files available | DOI
 

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