Publications

Schmude T , Koesten L , Möller T , Tschiatschek S. Information that matters: Exploring information needs of people affected by algorithmic decisions. International Journal of Human-Computer Studies. 2025 Jan;193:103380. Epub 2024 Sept 26. doi: 10.1016/j.ijhcs.2024.103380

Zischg J, Bomze I. Novel shortcut strategies in copositivity detection: Decomposition for quicker positive certificates. Operations Research Perspectives. 2025 Jun;14:100324. Epub 2025 Jan. doi: 10.1016/j.orp.2024.100324

Chen Z, Wu Z, Sadikaj Y , Plant C, Dai HN, Wang S et al. ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. CoRR. 2025;abs/24.

Miklautz L , Klein T , Sidak K, Leiber C, Lang T, Shkabrii A et al. Breaking the Reclustering Barrier in Centroid-based Deep Clustering. CoRR. 2025;abs/24. doi: 10.48550/arXiv.2411.02275

Klein T , Miklautz L , Sidak K , Plant C , Tschiatschek S. Plasticity Loss in Deep Reinforcement Learning: A Survey. CoRR. 2025;abs/24. doi: 10.48550/arXiv.2411.04832

Leodolter M, Plant C, Brändle N. Rotation invariant GPS trajectory mining. Geoinformatica. 2025;28:89-115.

Han W, Qin Z, Liu J, Böhm C, Shao J. Synchronization-Inspired Interpretable Neural Networks. IEEE transactions on neural networks and learning systems. 2025;35:16762-16774. doi: 10.1109/TNNLS.2023.3297672

Beer A, Heinrigs M, Plant C, Assent I. Temporal Subspace Clustering for Molecular Dynamics Data. CoRR. 2025;abs/24.

Stephan A , Miklautz L, Leiber C, Araujo PHLD, Repas D, Plant C et al. Text-Guided Alternative Image Clustering. CoRR. 2025;abs/24.

Beer A , Weber P , Miklautz L, Leiber C, Durani W, Böhm C et al. SHADE: Deep Density-based Clustering. In IEEE International Conference on Data Mining (ICDM) 2024. 2024

Bomze IM, Rinaldi F, Zeffiro D. Frank–Wolfe and friends: a journey into projection-free first-order optimization methods. Annals of Operations Research. 2024 Dec;343:607-638. doi: 10.1007/s10479-024-06251-7

Posch L , Alves J, Mirét-Roig N, Ratzenböck S, Großschedl J, Meingast S et al. The physical properties of Cluster Chains. Astronomy & Astrophysics. 2024 Oct 22.

Jahn P, Frey CMM, Beer A, Leiber C, Seidl T. Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024.. Vol. 14947. Springer Cham. 2024. p. 3-21. (Lecture Notes in Computer Science).

Gilhuber S, Beer A, Ma Y, Seidl T. FALCUN: A Simple and Efficient Deep Active Learning Strategy. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024).. Vol. 14943. Cham: Springer. 2024. p. 421-439. (Lecture Notes in Computer Science).

Piecka M , Hutschenreuter S , Alves J. Towards a complete picture of the Sco-Cen outflow. Astronomy & Astrophysics. 2024 Sept 1;689:A84. doi: 10.1051/0004-6361/202450936

Kummer L , Moustafa S , Schrittwieser S , Gansterer W , Kriege NM. Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining: KDD 2024. New York: Association for Computing Machinery (ACM). 2024. p. 1428-1439 doi: 10.1145/3637528.3671890

Bause F , Permann C , Kriege NM. Approximating the Graph Edit Distance with Compact Neighborhood Representations. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. . Vol. 14945. Springer Cham. 2024. p. 300-318. (Lecture Notes in Computer Science, Vol. 14945). doi: 10.1007/978-3-031-70362-1_18

Bause F , Moustafa S, Langguth J, Gansterer W , Kriege NM. On the Two Sides of Redundancy in Graph Neural Networks. In Bifet A, Davis J, Krilavičius T, Kull M, Ntoutsi E, Žliobaitė I, editors, Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. Vol. 14946. Springer Cham. 2024. p. 371-388. (Lecture Notes in Computer Science, Vol. 14946). doi: 10.1007/978-3-031-70365-2_22

Eder M, Xu J, Grosse-Wentrup M. Benchmarking brain–computer interface algorithms: Riemannian approaches vs convolutional neural networks. Journal of Neural Engineering. 2024 Aug 21;21(4):044002. doi: 10.1088/1741-2552/ad6793

Posch L , Alves J, Miret-Roig N, Ratzenböck S, Großschedl J, Meingast S. Chains of creation: feedback driven star formation in the Sco-Cen association. 2024. European Astronomical Society Annual Meeting 2024, Padova, Italy.