Publications

Showing entries 1 - 20 out of 235
Meunier A, Žák MR, Munz L, Garkot S, Eder M, Xu J et al. A Conversational Brain-Artificial Intelligence Interface. arXiv.org. 2024 Feb 22, p. 1. doi: https://doi.org/10.48550/arXiv.2402.15011

Klein T, Weinberger S, Singla A, Tschiatschek S. Active Third-Person Imitation. arXiv.org. 2023 Dec 27.

Lüer F, Weber T, Dolgich M, Böhm C. Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores. In IEEE International Conference on Data Mining (2023). 2023

Fröhlich GEA, Gansterer M, Dörner KF. Safe and secure vehicle routing: a survey on minimization of risk exposure. International Transactions in Operational Research. 2023 Nov;30(6):3087-3121. Epub 2022 Mar 1. doi: 10.1111/itor.13130

Feierl L, Möller T, Luidolt P. SunScreen: Visual Fault Detection for Solar-Thermal Systems. IEEE Computer Graphics & Application . 2023 Nov;43(6):87-100. doi: 10.1109/MCG.2023.3308962

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: 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

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.

Showing entries 1 - 20 out of 235