Publications


Grohs P, Liehr L. Injectivity of Gabor phase retrieval from lattice measurements. Applied and Computational Harmonic Analysis. 2023 Jan;62:173-193. doi: https://arxiv.org/abs/2008.07238, 10.1016/j.acha.2022.09.001

Chen Z, Wu Z, Lin Z, Wang S, Plant C, Guo W. AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. arXiv. 2023. doi: https://doi.org/10.48550/arXiv.2304.07014

Heinisch B. Collaboration with citizens and its revolutionary potential in the digital humanities. 2023. Digital Humanities 2023, Graz, Austria. doi: 10.5281/zenodo.8210808

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

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