Publications


Showing entries 101 - 120 out of 275
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, 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

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

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

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

Showing entries 101 - 120 out of 275