Publications

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: 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: 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

Marquetand P. Recent Progress in Electro- and Photocatalyst Discovery with Machine Learning. Chemical Reviews. 2022 Nov 9;122(21):15996-15997. doi: 10.1021/acs.chemrev.2c00703

Oettershagen L, Kriege NM, Jordan C, Mutzel P. A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks. arXiv.org. 2022 Sept 12. doi: 10.48550/arXiv.2209.07332

Bause F, Schubert E, Kriege NM. EmbAssi: embedding assignment costs for similarity search in large graph databases. Data Mining and Knowledge Discovery. 2022 Sept;36(5):1728-1755. Epub 2022 Jul 16. doi: 10.1007/s10618-022-00850-3

Meunier A, Grosse-Wentrup M. A mathematical framework for bridging Marr’s levels. 2022. Paper presented at Conference on Cognitive Computational Neuroscience 2022, San Francisco, California, United States. doi: 10.32470/CCN.2022.1191-0

Westermayr J, Gastegger M, Voros D, Panzenboeck L, Joerg F, Gonzalez L et al. Deep learning study of tyrosine reveals that roaming can lead to photodamage. Nature Chemistry. 2022 Aug;14(8):914-919. doi: 10.1038/s41557-022-00950-z

Grohs P, Jentzen A, Salimova D. Deep neural network approximations for solutions of PDEs based on Monte Carlo algorithms. SN Partial Differential Equations and Applications. 2022 Aug;3(4):45. doi: 10.1007/s42985-021-00100-z

Ghosh A, Tschiatschek S, Devlin S, Singla A. Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. In Rodrigo MM, Matsuda N, Cristea AI, Dimitrova V, editors, Artificial Intelligence in Education: 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part I. Cham: Springer. 2022. p. 28-40. (Lecture Notes in Computer Science, Vol. 13355). doi: 10.1007/978-3-031-11644-5_3

Tschiatschek S, Han D. Option Transfer and SMDP Abstraction with Successor Features. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2022. p. 3036-3042 doi: 10.24963/ijcai.2022/421

Lindner D, Tschiatschek S, Hofmann K, Krause A. Interactively Learning Preference Constraints in Linear Bandits. In Proceedings of the 39th International Conference on Machine Learning: 17-23 July 2022, Baltimore, Maryland, USA. 2022. (Proceedings of Machine Learning Research, Vol. 162).

Kinast A, Braune R, Dörner KF, Rindlerle-Ma S, Weckenborg C. A hybrid metaheuristic solution approach for the cobot assignment and job shop scheduling problem. Journal of Industrial Information Integration. 2022 Jul;28:100350. Epub 2022 Apr 26. doi: 10.1016/j.jii.2022.100350

Dragomir AG, Van Woensel T, Dörner KF. The pickup and delivery problem with alternative locations and overlapping time windows. Computers & Operations Research. 2022 Jul;143:105758. doi: 10.1016/j.cor.2022.105758

Jalaldoust A, Hlavácková-Schindler K , Plant C. Causal Discovery in Hawkes Processes by Minimum Description Length. In Thirty-Sixth AAAI Conference on Artificial Intelligence; Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence; The Twelveth Symposium on Educational Advances in Artificial Intelligence. Palo Alto, California: AAAI Press. 2022. p. 6978-6987. (Proceedings of the ... National Conference on Artificial Intelligence; No. 6, Vol. 36). doi: 10.48550/arXiv.2206.06124, 10.1609/aaai.v36i6.20656