Publications

Showing entries 21 - 40 out of 247
Fröhlich GEA, Gansterer M, Dörner KF. A rolling horizon framework for the time-dependent multi-visit dynamic safe street snow plowing problem. Networks. 2023 Oct 6;83(2):236-255. Epub 2023 Oct 6. doi: 10.1002/net.22189

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: 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: 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

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

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 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

Showing entries 21 - 40 out of 247