Publications
Showing entries 21 - 40 out of 235
Oettershagen L, Kriege NM, Mutzel P. A Higher-Order Temporal H-Index for Evolving Networks. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM). 2023. p. 1770-1782 . (ACM Conferences, Vol. 2023). doi: 10.1145/3580305.3599242
Nyhan B, Settle J, Thorson E, Wojcieszak M, Barberá P, Chen AY et al. Like-minded sources on Facebook are prevalent but not polarizing. Nature. 2023 Aug 3;620(7972):137-144. doi: 10.1038/s41586-023-06297-w
Jin Y, Koesten L, Möller T. Exploring the Design Space of Three Criteria Decision Making. IEEE Computer Graphics and Applications. 2023 Aug;43(25).
Kumar A, Gilra A, Grosse-Wentrup M. Learning cognitive state representations from neuronal and behavioural data. In Conference on Cognitive Computational Neuroscience 2023. 2023 doi: 10.32470/CCN.2023.1089-0, 10.32470/CCN.2023.1089-0
Kinast A, Braune R, Dörner KF, Rinderle-Ma S. Optimizing the Solution Quality of Metaheuristics Through Process Mining Based on Selected Problems from Operations Research. In Di Francescomarino C, Burattin A, Janiesch C, Sadiq S, editors, Business Process Management Forum - BPM 2023 Forum, Proceedings. Cham: Springer. 2023. p. 232-248. (Lecture Notes in Business Information Processing, Vol. 490). doi: 10.1007/978-3-031-41623-1_14
Guess AM, Malhotra N, Pan J, Barberá P, Allcott H, Brown T et al. How do social media feed algorithms affect attitudes and behavior in an election campaign? Science. 2023 Jul 28;381(6656):398-404. doi: 10.1126/science.abp9364
Guess AM, Malhotra N, Pan J, Barberá P, Allcott H, Brown T et al. Reshares on social media amplify political news but do not detectably affect beliefs or opinions. Science. 2023 Jul 28;381(6656):404-408. doi: 10.1126/science.add8424
Jordan B, Koesten L, Möller T. Chatting About Data - Interacting with Voice Interfaces to Engage with Election Panel Data. In CUI '23: Proceedings of the 5th International Conference on Conversational User Interfaces. New York: Association for Computing Machinery (ACM). 2023. 34 doi: https://doi.org/10.1145/3571884.3597126
Szabadi A, Doknic A, Netsch J, Pálvögyi ÁM, Steinhauser O, Schröder C. Force field refinement for reproducing experimental infrared spectra of ionic liquids. Physical Chemistry Chemical Physics. 2023 Jul 11;25(29):19882-19890. doi: 10.1039/d3cp00932g
Sedlmayer M, Nguyen D-K, Bot RI. A fast optimistic method for monotone variational inequalities. In Proceedings of the 40th International Conference on Machine Learning: PMLR. Vol. 202. PMLR. 2023. p. 30406 - 30438
Xu J, Grosse-Wentrup M. PyTES: A Python toolbox for closed-loop transcranial electrical stimulation. SoftwareX. 2023 Jul;23:101403. doi: 10.1016/j.softx.2023.101403
König G, Freiesleben T, Grosse-Wentrup M. Improvement-focused causal recourse (ICR). 2023. Paper presented at The 37th AAAI Conference on Artificial Intelligence, Washington, District of Columbia, United States.
Schmude T, Koesten L, Möller T, Tschiatschek S. On the Impact of Explanations on Understanding of Algorithmic Decision-Making. 2023. Paper presented at ACM FAccT Conference 2023, Chicago, United States. Epub 2023 Feb 16. doi: https://doi.org/10.1145/3593013.3594054
Raggam P, Zrenner C, McDermott EJ, Ziemann U, Grosse-Wentrup M. Predicting high-quality movements in post-stroke motor rehabilitation from EEG. 2023. 10th International BCI Meeting, Brussels, Belgium.
Poletti S, Testolin A, Tschiatschek S. Learning Constraints From Human Stop-Feedback in Reinforcement Learning. In he proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2023). 2023
Lindner D, Chen X, Tschiatschek S, Hofmann K, Krause A. Learning Safety Constraints from Demonstrations with Unknown Rewards. arXiv.org. 2023 May 25. doi: https://doi.org/10.48550/arXiv.2305.16147
Meingast S, Alves J, Bouy H, Petr-Gotzens MG, Fürnkranz V, Großschedl JE et al. VISIONS: The VISTA Star Formation Atlas. I. Survey overview. Astronomy & Astrophysics. 2023 May;673:A58. doi: 10.1051/0004-6361/202245771
Morris C, Lipman Y, Maron H, Rieck B, Kriege NM, Grohe M et al. Weisfeiler and Leman go Machine Learning: The Story so far. Journal of Machine Learning Research. 2023 May;24(333):1-59.
Oettershagen L, Kriege NM, Jordan C, Mutzel P. A Temporal Graphlet Kernel For Classifying Dissemination in Evolving Networks. In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). 2023. p. 19-27 doi: https://doi.org/10.1137/1.9781611977653.c
Luther C, König G, Grosse-Wentrup M. Efficient SAGE Estimation via Causal Structure Learning. Proceedings of Machine Learning Research (PMLR). 2023 Apr 25;206:11650-11670.