Publications

Baumann A, Stephan A, Roth B. Seeing through the mess: evolutionary dynamics of lexical polysemy. In Bouamor H, Pino J, Bali K, editors, EMNLP 2023 The 2023 Conference on Empirical Methods in Natural Language Processing: Proceedings of the Conference. Stroudsburg: ACL Anthology. 2023. p. 8745–8762 doi: 10.18653/v1/2023.emnlp-main.541

Cuchiero C, Papariello-Svaluto-Ferro S, Gazzani G. Signature based models: theory and calibration. 3 ed. SIAM Journal on Financial Mathematics. 2023. doi: arXiv:2207.13136

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, 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: 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

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. 2022 Nov;33(11):6321-6330. Epub 2021 May 26. doi: 10.1109/TNNLS.2021.3076777

Andersen TG, Archakov I, Cebiroglu G, Hautsch N. Local mispricing and microstructural noise: A parametric perspective. Journal of Econometrics. 2022 Oct;230(2):510-534. doi: 10.1016/j.jeconom.2021.06.006

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