Publications
Showing entries 21 - 40 out of 275
Swiggum C, Alves J, Benjamin RA, Ratzenböck S, Miret Roig N, Großschedl JE et al. Uncovering three past massive star-forming complexes that shaped local interstellar structures. Bulletin of the American Astronomical Society. 2024 Jul 1;56(7):111.05. doi: 10.3847/25c2cfeb.e7358267
Bauer-Fasching B, Bernhard K, Brändli E, Burger H, Eisele B, Hümmerich S et al. New ACV variables discovered in the Zwicky Transient Facility survey. Astronomy & Astrophysics. 2024 Jul;687:id.A211. doi: 10.1051/0004-6361/202347476
Swiggum C, Alves J, Benjamin R, Ratzenböck S, Miret-Roig N, Großschedl J et al. Most nearby young star clusters formed in three massive complexes. Nature. 2024 Jun 10;631(8019):49-53. doi: 10.1038/s41586-024-07496-9
Bomze I, Rinaldi F, Zeffiro D. Projection free methods on product domains. Computational Optimization and Applications. 2024 Jun 4. doi: 10.1007/s10589-024-00585-5
Bakumenko A, Hlavackova-Schindler K, Plant C, Hubig N. Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs. arXiv. 2024 Jun 1.
Dolog P, Sadikaj Y, Velaj Y, Stephan A, Roth B, Plant C. The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. In Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024. ACM. 2024. p. 589-592
Meunier A, Žák MR, Munz L, Garkot S, Eder M, Xu J et al. A Conversational Brain-Artificial Intelligence Interface. arXiv.org. 2024 Feb 22, p. 1. doi: 10.48550/arXiv.2402.15011
Miret Roig N, Alves J, Barrado D, Burkert A, Ratzenböck S, Konietzka R. Insights into star formation and dispersal from the synchronization of stellar clocks. Nature Astronomy. 2024 Feb;8(2):216-222. Epub 2023 Nov 23. doi: 10.1038/s41550-023-02132-4
Scherbela M, Gerard L, Grohs P. Towards a transferable fermionic neural wavefunction for molecules. Nature Communications. 2024 Jan 2;15(1):120. Epub 2024 Jan 2. doi: 10.1038/s41467-023-44216-9
Leodolter M, Plant C, Brändle N. Rotation invariant GPS trajectory mining. Geoinformatica. 2024 Jan;28:89-115. doi: 10.1007/s10707-023-00495-4
Chen Z, Wu Z, Sadikaj Y, Plant C, Dai HN, Wang S et al. ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. arXiv. 2024.
Miklautz L, Klein T, Sidak K, Leiber C, Lang T, Shkabrii A et al. Breaking the Reclustering Barrier in Centroid-based Deep Clustering. arXiv. 2024. doi: 10.48550/arXiv.2411.02275
Beer A, Palotás O, Maldonado A, Draganov A, Assent I. DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. In 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024. IEEE. 2024. p. 1143-1156
Arafat NA, Mobaraki EB, Khan A, Velaj Y, Bonchi F. Estimate and Reduce Uncertainty in Uncertain Graphs. In 11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024. IEEE. 2024. p. 1-12
Klein T, Miklautz L, Sidak K, Plant C, Tschiatschek S. Plasticity Loss in Deep Reinforcement Learning: A Survey. arXiv. 2024. doi: 10.48550/arXiv.2411.04832
Roth A, Bause F, Kriege NM, Liebig T. Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph. 2024. Paper presented at Learning on Graphs Conference (LoG) 2024.
Paar E, Schmude T, Cinar C. Spotlight Erklärbare KI: Eine Besprechung ausgewählter Use Cases aus rechtlicher und technologischer Perspektive. Juridikum. Zeitschrift für Kritik, Recht, Gesellschaft. 2024;244-253. doi: 10.33196/juridikum202402024401
Beer A, Heinrigs M, Plant C, Assent I. Temporal Subspace Clustering for Molecular Dynamics Data. arXiv. 2024.
Stephan A, Miklautz L, Leiber C, Araujo PHLD, Repas D, Plant C et al. Text-Guided Alternative Image Clustering. ACL Anthology. 2024, p. 177-190.
Klein T, Weinberger S, Singla A, Tschiatschek S. Active Third-Person Imitation. arXiv.org. 2023 Dec 27.