Publications
Showing entries 21 - 40 out of 245
Kumar A, Gilra A, Gonzalez Soto M, Meunier A, Grosse-Wentrup M. BunDLe-Net: Neuronal Manifold Learning Meets Behaviour. bioRxiv. 2023 Oct 5, p. 1. doi: https://doi.org/10.1101/2023.08.08.551978
Han D, Wooldridge M, Rogers A, Ohrimenko O, Tschiatschek S. Replication Robust Payoff Allocation in Submodular Cooperative Games. IEEE Transactions on Artificial Intelligence. 2023 Oct 1;4(5):1114-1128. Epub 2022 Aug 1. doi: https://doi.org/10.1109/TAI.2022.3195686
Rittel S, Tschiatschek S. Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning. In Gal K, Gal K, Nowe A, Nalepa GJ, Fairstein R, Radulescu R, editors, ECAI 2023: 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Amsterdam: IOS Press. 2023. p. 1962-1969. (Frontiers in Artificial Intelligence and Applications, Vol. 372). doi: 10.3233/FAIA230487
Sudak T, Tschiatschek S. Posterior Consistency for Missing Data in Variational Autoencoders. In Koutra D, Plant C, Gomez Rodriguez M, Baralis E, Bonchi F, editors, Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II. Cham: Springer Nature. 2023. p. 508-524. (Lecture Notes in Computer Science, Vol. 14170). doi: 10.1007/978-3-031-43415-0_30
Ratzenböck S, Großschedl JE, Möller T, Alves J, Bomze I, Meingast S. Significance mode analysis (SigMA) for hierarchical structures: An application to the Sco-Cen OB association. A&A. 2023 Sep 6;677:A59. doi: 10.1051/0004-6361/202243690
Ratzenböck S, Obermüller V, Möller T, Alves J, Bomze I. Uncover: Toward Interpretable Models for Detecting New Star Cluster Members. IEEE Transactions on Visualization and Computer Graphics. 2023 Sep 1;29(9):3855-3872. Epub 2022 May 5. doi: 10.1109/TVCG.2022.3172560
Pedroza G, Chen XC, Hernández-Orallo J, Huang X, Theodorou A, Matragkas N et al. The IJCAI-23 joint workshop on artificial intelligence safety and safe reinforcement learning (AISafety-SafeRL2023). CEUR Workshop Proceedings. 2023 Aug 19;3505.
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
Sedlmayer M, Nguyen D-K, 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
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
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: 10.1145/3593013.3594054