Ye W, Mautz D, Böhm C, Singh AK, Plant C. Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. In 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023. IEEE. 2023. p. 3833-3834 doi: 10.1109/ICDE55515.2023.00343

Li P, Pan L, Li K, Plant C, Böhm C. Interpretable Subgraph Feature Extraction for Hyperlink Prediction. In IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE. 2023. p. 279-288

Hegele S, Heinisch B, Popp A, Marheinecke K, Rios A, Gromann D et al. Language Report German. In Cognitive Technologies. Springer Science and Business Media Deutschland GmbH. 2023. p. 147-150. (Cognitive Technologies, Vol. Part F280). doi: 10.1007/978-3-031-28819-7_18

Berner J, Grohs P, Voigtlaender F. Learning ReLU networks to high uniform accuracy is intractable. 2023. Paper presented at The Eleventh International Conference on Learning Representations: ICLR 2023.

Grohs P, Hornung F, Jentzen A, Zimmermann P. Space-time error estimates for deep neural network approximations for differential equations. Advances in Computational Mathematics. 2023;49:4. doi: 10.48550/arXiv.1908.03833,

Scherbela M, Gerard L, Grohs P. Variational Monte Carlo on a Budget - Fine-tuning pretrained Neural Wavefunctions. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023). 2023

Pacher C, Schicker I, deWit R, Hlavácková-Schindler K, Plant C. AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree. 2022 Dec 13. doi: 10.48550/arXiv.2212.06642

Chen Z, Fu L, Xiao S, Wang S, Plant C, Guo W. Multi-view Graph Convolutional Networks with Differentiable Node Selection. 2022 Dec 9. doi: 10.48550/arXiv.2212.05124

Mummoju P, Wolff A, Perdacher M, Plant C, Böhm C. Enhancing k-Means Algorithm with Tensor Processing Unit. In Tsumoto S, Ohsawa Y, Chen L, Van den Poel D, Hu X, Motomura Y, Takagi T, Wu L, Xie Y, Abe A, Raghavan V, editors, 2022 IEEE International Conference on Big Data (IEEE BigData). Piscataway: IEEE. 2022. p. 194-200 doi:

Kriege NM. Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited. 2022. Paper presented at Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, United States. doi:

Chen Z, Fu L, Yao J, Guo W, Plant C, Wang S. Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning. 2022 Nov 16. doi: 10.48550/arXiv.2211.09155