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.
Koutra D, (ed.), Plant C, (ed.), Gomez-Rodriguez M, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science. 2023;14169. doi: 10.1007/978-3-031-43412-9
Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science. 2023;14170. doi: 10.1007/978-3-031-43415-0
Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Lecture Notes in Computer Science. 2023;14171. doi: 10.1007/978-3-031-43418-1
Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. Lecture Notes in Computer Science. 2023;14172. doi: 10.1007/978-3-031-43421-1
Koutra D, (ed.), Plant C, (ed.), Rodriguez MG, (ed.), Baralis E, (ed.), Bonchi F, (ed.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science. 2023;14173. doi: 10.1007/978-3-031-43424-2
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
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