Publications

Leiber C, Bauer LGM, Neumayr M, Plant C, Böhm C. The DipEncoder: Enforcing Multimodality in Autoencoders. In Zhang A, Rangwala H, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. ACM. 2022. p. 846-856 https://doi.org/10.1145/3534678.3539407

Plant C, Hubig NC, Shao J, Ottley A, Gou L, Möller T et al. Visualization in Data Science VDS @ KDD 2022. In Zhang A, Rangwala H, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. ACM. 2022. p. 4894-4895 https://doi.org/10.1145/3534678.3542903

Morris C, Lipman Y, Maron H, Rieck B, Kriege NM, Grohe M et al. Weisfeiler and Leman go Machine Learning: The Story so far. arXiv.org. 2021 Dec 18.

Sahann R, Möller T, Schmidt J. Histogram binning revisited with a focus on human perception: VIS2021 - short paper 1171. 2021. Paper presented at IEEE VIS 2021, United States.

Bauer L, Leiber C, Schelling B, Boehm C, Plant C. Dip-based Deep Embedded Clustering with k-Estimation. In KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: August 14 - 18, 2021. New York, NY: Association for Computing Machinery (ACM). 2021. p. 903-913 https://doi.org/10.1145/3447548.3467316