Publications

Miklautz L, Teuffenbach M, Weber P, Perjuci R, Durani W, Böhm C et al. Deep Clustering With Consensus Representations. In Zhu X, Ranka S, Thai MT, Washio T, Wu X, editors, Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. Orlando, Florida: IEEE. 2022. p. 1119-1124. (IEEE International Conference on Data Mining. Proceedings.). doi: 10.1109/ICDM54844.2022.00141

Miklautz L, Teuffenbach M, Weber P, Perjuci R, Durani W, Boehm C et al. Deep Clustering With Consensus Representations. arXiv. 2022. doi: 10.48550/arXiv.2210.07063

Velaj Y , Dolezal D , Ambros R , Plant C , Motschnig R. Designing a Data Science Course for Non-Computer Science Students: Practical Considerations and Findings. In 2022 IEEE Frontiers in Education Conference, FIE 2022. Piscataway, NJ: IEEE. 2022. p. 1-9 doi: 10.1109/FIE56618.2022.9962455

Wu H, Tan S, Li W, Garrard M, Obeng A, Dimmery D et al.. Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies. 2022. Paper presented at 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, District of Columbia, United States.

Kozobolis S, Ioannidis A, Pasch H, Heinisch B, Nuč-Blažič A, Orthaber S et al. Forschungsbericht - ReTrans Working with Interpreters in Refugee Transit Zones: Capacity building and awareness-raising for higher education contexts: Work Package 1 Final Report. 2022.

Gerard L, Scherbela M, Marquetand P, Grohs P. Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?. 2022. Paper presented at Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, United States.

Balazia M, Hlavácková-Schindler K, Sojka P, Plant C. Interpretable Gait Recognition by Granger Causality. In 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022. Piscataway, NJ: IEEE. 2022. p. 1069-1075 doi: 10.48550/arXiv.2206.06714, 10.1109/ICPR56361.2022.9956624

Arbour D, Dimmery D, Mai T, Rao A. Online Balanced Experimental Design. 2022. Paper presented at International Conference on Machine Learning (ICML), Baltimore, United States.

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 doi: 10.1145/3534678.3539407

Böhm A, Sedlmayer M, Csetnek ER , Bot RI. Two steps at a time -- taking GAN training in stride with Tseng's method. SIAM Journal on Mathematics of Data Science. 2022;4(2):750-771. doi: 10.1137/21M1420939

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 doi: 10.1145/3534678.3542903

Kritzinger S , Wagner M. Wähler*innen und Wahlverhalten. In Das Politische System Österreichs. Basiswissen und Forschungseinblicke. Böhlau Verlag. 2022. p. 387-412

Plescia C , Kritzinger S. When marriage gets hard: Intra-coalition conflict and electoral accountability. Comparative Political Studies. 2022;55(1):32-59. doi: 10.1177/00104140211024307

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.

Fritze R, Plant C. GPU backed Data Mining on Android Devices. arXiv.org. 2021 Dec 9. doi: 10.48550/arXiv.2112.04800

Fritze R, Plant C. High performance computing on Android devices - a case study. arXiv.org. 2021 Dec 9. doi: 10.48550/arXiv.2112.04845

Abi Jaber E, Cuchiero C, Larsson M, Pulido S. A weak solution theory for stochastic Volterra equations of convolution type. Annals of Applied Probability. 2021 Dec;31(6):2924-2952. doi: 10.1214/21-AAP1667

Cuchiero C, Gonon L, Grigoryeva L, Ortega JP, Teichmann J. Discrete-time signatures and randomness in reservoir computing. IEEE transactions on neural networks and learning systems. 2021 Nov;33(11):6321-6330. Epub 2021 May 26. doi: 10.1109/TNNLS.2021.3076777

Schmaranzer D, Braune R , Dörner KF. Multi-objective simulation optimization for complex urban mass rapid transit systems. Annals of Operations Research. 2021 Oct;305(1):449-486. Epub 2019 Sept 25. doi: 10.1007/s10479-019-03378-w

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.