Publications
Showing entries 21 - 40 out of 435
Scherbela M, Gerard L, Sutterud H, Foulkes M, Grohs P. Transferable Neural Wavefunctions for Solids. Nature Computational Science. 2025 Dec;5(12):1147–1157. doi: 10.1038/s43588-025-00872-z
Fellner H, Radisch E. Weaving Together What Belongs Together: Combining KMIS and CEToM. Acta Via Serica. 2025 Dec;10(2):249–278. doi: 10.22679/avs.2025.10.2.249
Zidar LM, Raggam P, Mohammadian F, Barłoga A, Grosse-Wentrup M. Revire: BCI-Based Motor Rehabilitation in Virtual Reality – A Feasibility Study. In The Fourth Neuroadaptive Technology Conference: Conference Proceedings. 2025. p. 119-121 doi: 10.26127/BTUOpen-7215
Doknic A, Saske A, Kralj C, Möller T. MLCvis: A Design Study of a Visual Analysis Tool for Multi-Label Classifier Evaluation and Comparison. IEEE Access. 2025 Nov 21.
Benson JR, Zeh K, Essfors H, Fellner H, Neidhardt J, Baumann A. Linguistic Diversity and Digitalization: An Ambivalent Relationship. In Hagedorn L, Schmid U, Winter S, Woltran S, editors, Digital Humanism - 1st Interdisciplinary Science and Research Conference, DIGHUM 2025, Proceedings: First Interdisciplinary Science and Research Conference, DIGHUM 2025 Vienna, Austria, November 20–21, 2025 Proceedings. Cham: Springer Nature. 2025. p. 358-365. (Lecture Notes in Computer Science; No. 16319). doi: 10.1007/978-3-032-11108-1_26
Kritzinger S, Bernauer T, Detlef J, Patrick M. K. Einführung in die Politikwissenschaft. 6 ed. Baden-Baden, 2025. 726 p. doi: 10.5771/9783748945376
Cuchiero C, Flonner E, Kurt K. Robust financial calibration: a Bayesian approach for neural SDEs. 2 ed. Journal of computational Finance. 2025 Nov 4, p. 27-66. doi: 10.21314/JCF.2025.009
Kritzinger S, Pfaff K, Partheymüller J, Gschwandtner M. Probability-Based vs. Non-Probability Online Panel Surveys: Assessing Accuracy, Response Quality, and Survey Professionalism 2025. doi: 10.31235/osf.io/86tsv_v2
Kritzinger S, Friesl C, Meinhart E, Polak R, Rohs P, Willmann J. Wie wir leben wollen: Visionen für eine bessere Welt. In Friesl C, Meinhart E, Polak R, editors, Wie wir leben wollen: Visionen für eine bessere Welt. edition a. 2025. p. 9-28
Kummer L, Moustafa S, Ehrlich A, Bause F, Suess N, Gansterer W et al. Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win. In Proceedings of the 42nd International Conference on Machine Learning. Vol. 267. PMLR. 2025. p. 31991-32010. (Proceedings of Machine Learning Research (PMLR), Vol. 267).
Bomze IM, Dür M. A Square Departure From Symmetry in Matrix Cones. Vietnam Journal of Mathematics. 2025 Oct;53(4):757-771. Epub 2024 Nov. doi: 10.1007/s10013-024-00722-x
Žák MR, Grosse-Wentrup M. Auditory Tagging: Improving Performance of Auditory Brain-Computer Interfaces by Modulating Stimuli. In 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE Xplore. 2025
Fellner H. Geschichte und technologische Grundlagen der Künstlichen Intelligenz. Marxistische Blätter. 2025 Oct;4(2025):28-37.
Kritzinger S, Boomgaarden H, Katsanidou A, Lutz G, Willmann J, Eberl JM. Open science in democracy research: the researchinfrastructure “Monitoring Electoral Democracy” (MEDem) 2025.
Moustafa S, Kummer L, Fetzel S, Kriege NM, Gansterer WN. Visualization and Analysis of the Loss Landscape in Graph Neural Networks. In Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions: 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part V. Springer Cham. 2025. p. 69-81. (Lecture Notes in Computer Science). doi: 10.1007/978-3-032-04552-2_9
Elting S, Ehmke JF, Gansterer M. Preference learning for efficient bundle selection in horizontal transport collaborations. European Journal of Operational Research. 2025 Aug 1;324(3):953-968. doi: 10.1016/j.ejor.2025.02.002
Andrews TL. Graph schema validation at last? Work towards a StemmaREST ontology with Neo4J, RDF-STAR, and SHACL. Digital Scholarship in the Humanities. 2025 Jul 25. doi: 10.1093/llc/fqaf067
Wislocka A, Stücker J, Hahn O, Angulo RE. Excursion sets with a ‘perfect’ collapse model. Monthly Notices of the Royal Astronomical Society. 2025 Jul 7;541(2):880-898. doi: 10.1093/mnras/staf1029
Xia Y, Luz de Araujo PH, Zaporojets K, Roth B. Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles. In Che W, Nabende J, Shutova E, Pilehvar MT, editors, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Kerrville: ACL Anthology. 2025. p. 3740 - 3761 doi: 10.18653/v1/2025.acl-long.188