Publications

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

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

Sedlmayer M, Nguyen DK, Bot RI. A fast optimistic method for monotone variational inequalities. In ICML'23: Proceedings of the 40th International Conference on Machine Learning. Vol. 202. PMLR. 2023. p. 30406-30438. 1261

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: 10.1145/3571884.3597126

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: 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: 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. Epub 2023 May 11. doi: 10.1051/0004-6361/202245771

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: 10.1137/1.9781611977653.ch3

Chen Z, Wu Z, Zhong L, Plant C, Wang S, Guo W. Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs. arXiv. 2023 Apr 18. doi: 10.48550/arXiv.2304.06336

Bauer LGM, Leiber C, Böhm C , Plant C. Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. In Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023. SIAM. 2023. p. 109-117

Sun X, Song Z, Yu Y, Dong J, Plant C , Böhm C. Network Embedding via Deep Prediction Model. IEEE Transactions on Big Data. 2023 Apr 1;9(2):455-470. Epub 2022 Jul 28. doi: 10.1109/TBDATA.2022.3194643