| Explainable data decompositions S Dalleiger, J Vreeken AAAI Conference on Artificial Intelligence (AAAI) 34 (04), 3709-3716, 2020 | 13 | 2020 |
| Discovering significant patterns under sequential false discovery control S Dalleiger, J Vreeken 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 263-272, 2022 | 8 | 2022 |
| Differentially Describing Groups of Graphs C Coupette, S Dalleiger, J Vreeken AAAI Conference on Artificial Intelligence (AAAI), 3959-3967, 2022 | 7 | 2022 |
| The relaxed maximum entropy distribution and its application to pattern discovery S Dalleiger, J Vreeken 2020 IEEE International Conference on Data Mining (ICDM), 978-983, 2020 | 7 | 2020 |
| Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework C Coupette, S Dalleiger, B Rieck International Conference on Learning Representations (ICLR), 2022 | 6 | 2022 |
| Efficiently factorizing boolean matrices using proximal gradient descent S Dalleiger, J Vreeken Advances in Neural Information Processing Systems (NeurIPS) 35, 4736-4748, 2022 | 3 | 2022 |
| Federated Binary Matrix Factorization using Proximal Optimization S Dalleiger, J Vreeken, M Kamp | | 2023 |
| Characteristics and commonalities: differentially describing datasets with insightful patterns S Dalleiger Saarländische Universitäts-und Landesbibliothek, 2023 | | 2023 |
Jilles VreekenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
