Publications

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

Steinberger L, Rohde A, Butucea C. Interactive versus non-interactive locally differentially private estimation: Two elbows for the quadratic functional. Annals of Statistics. 2023;51(2):464 - 486.

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.

Koutra D, (ed.), Plant C, (ed.), Gomez-Rodriguez M, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science. 2023;14169. doi: 10.1007/978-3-031-43412-9

Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science. 2023;14170. doi: 10.1007/978-3-031-43415-0

Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Lecture Notes in Computer Science. 2023;14171. doi: 10.1007/978-3-031-43418-1

Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. Lecture Notes in Computer Science. 2023;14172. doi: 10.1007/978-3-031-43421-1

Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science. 2023;14173. doi: 10.1007/978-3-031-43424-2

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, https://doi.org/10.1007/s10444-022-09970-2

Heinisch B. Terminological usability – adapting terminological databases to different user groups according to usability principles: The case of UniVieTerm. Terminology Science & Research / Terminologie : Science et Recherche. 2023.

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. arXiv.org. 2022 Dec 13. doi: 10.48550/arXiv.2212.06642

Bause F , Kriege NM. Gradual Weisfeiler-Leman: Slow and Steady Wins the Race. Proceedings of Machine Learning Research (PMLR). 2022 Dec 9;198:1-20.

Chen Z, Fu L, Xiao S, Wang S, Plant C, Guo W. Multi-view Graph Convolutional Networks with Differentiable Node Selection. arXiv.org. 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: https://doi.org/10.1109/BigData55660.2022.10020427

Kahr M. Determining locations and layouts for parcel lockers to support supply chain viability at the last mile. Omega. 2022 Dec;113:102721. doi: 10.1016/j.omega.2022.102721

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: https://doi.org/10.48550/arXiv.2205.10914

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