Publications

Klein T, Miklautz L, Sidak K , Plant C , Tschiatschek S. Plasticity Loss in Deep Reinforcement Learning: A Survey. arXiv. 2024. doi: 10.48550/arXiv.2411.04832

Roth A, Bause F , Kriege NM, Liebig T. Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph. 2024. Paper presented at Learning on Graphs Conference (LoG) 2024.

Paar E, Schmude T , Cinar C. Spotlight Erklärbare KI: Eine Besprechung ausgewählter Use Cases aus rechtlicher und technologischer Perspektive. Juridikum. Zeitschrift für Kritik, Recht, Gesellschaft. 2024;244-253. doi: 10.33196/juridikum202402024401

Beer A, Heinrigs M, Plant C, Assent I. Temporal Subspace Clustering for Molecular Dynamics Data. arXiv. 2024.

Stephan A, Miklautz L, Leiber C, Araujo PHLD, Repas D, Plant C et al. Text-Guided Alternative Image Clustering. ACL Anthology. 2024, p. 177-190.

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

Leeb H , Steinberger L. Statistical inference with F-statistics when fitting simple models to high-dimensional data. Econometric Theory. 2023 Dec 27;39(6):1249-1272. Epub 2021 Sept 27. doi: 10.1017/S026646662100044X

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

Posch L, Miret-Roig N, Alves J, Ratzenböck S, Großschedl J, Meingast S et al. The Corona Australis star formation complex is accelerating away from the Galactic plane. Astronomy & Astrophysics. 2023 Nov;679:L10. Epub 2023 Nov 15. doi: 10.1051/0004-6361/202347186

Grosse-Wentrup M , Kumar A, Meunier A, Zimmer M. Neuro-Cognitive Multilevel Causal Modeling: A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition. bioRxiv. 2023 Oct 27, p. 1. doi: 10.1101/2023.10.27.564404

Bomze I , Gabl M. Optimization under uncertainty and risk: Quadratic and copositive approaches. European Journal of Operational Research. 2023 Oct 16;310(2):449-476. Epub 2022 Nov 30. doi: 10.1016/j.ejor.2022.11.020

Nguyen MH, Tschiatschek S, Singla A. Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation. arXiv.org. 2023 Oct 15.

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

Ratzenböck S, Großschedl JE, Alves J, Miret-Roig N, Bomze I, Forbes J et al. The star formation history of the Sco-Cen association: Coherent star formation patterns in space and time. Astronomy & Astrophysics. 2023 Oct;678:A71. Epub 2023 Oct 6. doi: 10.1051/0004-6361/202346901

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