Publications
Showing entries 1 - 20 out of 169
Sadegh S, Skelton J, Anastasi E, Wipat A, Möller A, Blumenthal DB et al. Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond. Nature Communications. 2023 Mar 25;14(1662). 1662. https://doi.org/10.1038/s41467-023-37349-4
McDermott EJ, Metsomaa J, Paolo B, Grosse-Wentrup M, Ziemann U, Zrenner C. Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation. Virtual Reality. 2023 Mar;27(1):347-369. https://doi.org/10.1007/s10055-021-00538-x
Grohs P, Klotz A, Voigtlaender F. Phase Transitions in Rate Distortion Theory and Deep Learning. Foundations of Computational Mathematics. 2023 Feb;23(1):329-392. https://doi.org/10.1007/s10208-021-09546-4
Wolfinger D, Gansterer M, Dörner KF, Popper N. A Large Neighbourhood Search Metaheuristic for the Contagious Disease Testing Problem. European Journal of Operational Research. 2023 Jan 1;304(1):169-182. https://doi.org/10.1016/j.ejor.2021.10.028
Grohs P, Liehr L. Injectivity of Gabor phase retrieval from lattice measurements. Applied and Computational Harmonic Analysis. 2023 Jan;62:173-193. https://doi.org/https://arxiv.org/abs/2008.07238, https://doi.org/10.1016/j.acha.2022.09.001
Steinberger L, Rohde A, Butucea C. Interactive versus non-interactive locally differentially private estimation: Two elbows for the quadratic functional. Annals of Statistics. 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. https://doi.org/10.48550/arXiv.1908.03833, https://doi.org/10.1007/s10444-022-09970-2
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. https://doi.org/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. https://doi.org/10.48550/arXiv.2212.05124
Kahr M. Determining locations and layouts for parcel lockers to support supply chain viability at the last mile. Omega. 2022 Dec;113. 102721. https://doi.org/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. 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. https://doi.org/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. https://doi.org/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 Sep 12. https://doi.org/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 Sep;36(5):1728-1755. https://doi.org/10.1007/s10618-022-00850-3
Han D, Wooldridge M, Rogers A, Ohrimenko O, Tschiatschek S. Replication Robust Payoff Allocation in Submodular Cooperative Games. IEEE Transactions on Artificial Intelligence. 2022 Aug 1;1-15. https://doi.org/10.1109/TAI.2022.3195686
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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1007/s42985-021-00100-z