Publications

Cuchiero C, Gonon L, Grigoryeva L, Ortega JP, Teichmann J. Discrete-time signatures and randomness in reservoir computing. IEEE transactions on neural networks and learning systems. 2022 Nov;33(11):6321-6330. Epub 2021 May 26. doi: 10.1109/TNNLS.2021.3076777

Andersen TG, Archakov I, Cebiroglu G, Hautsch N. Local mispricing and microstructural noise: A parametric perspective. Journal of Econometrics. 2022 Oct;230(2):510-534. doi: 10.1016/j.jeconom.2021.06.006

Oettershagen L, Kriege NM, Jordan C, Mutzel P. A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks. arXiv.org. 2022 Sept 12. doi: 10.48550/arXiv.2209.07332

Bause F, Schubert E, Kriege NM. EmbAssi: embedding assignment costs for similarity search in large graph databases. Data Mining and Knowledge Discovery. 2022 Sept;36(5):1728-1755. Epub 2022 Jul 16. doi: 10.1007/s10618-022-00850-3

Meunier A, Grosse-Wentrup M. A mathematical framework for bridging Marr’s levels. 2022. Paper presented at Conference on Cognitive Computational Neuroscience 2022, San Francisco, California, United States. doi: 10.32470/CCN.2022.1191-0

Westermayr J, Gastegger M, Voros D, Panzenboeck L, Joerg F, Gonzalez L et al. Deep learning study of tyrosine reveals that roaming can lead to photodamage. Nature Chemistry. 2022 Aug;14(8):914-919. doi: 10.1038/s41557-022-00950-z

Grohs P, Jentzen A, Salimova D. Deep neural network approximations for solutions of PDEs based on Monte Carlo algorithms. SN Partial Differential Equations and Applications. 2022 Aug;3(4):45. doi: 10.1007/s42985-021-00100-z

Plescia C, Kritzinger S, Spoon JJ. Who’s to Blame? How Performance Evaluation and Partisanship Influence Responsibility Attribution in Grand Coalition Governments. European Journal of Political Research. 2022 Aug;61(3):660-677. Epub 2021 Sept 25. doi: 10.1111/1475-6765.12478

Kritzinger S, Plescia C, Spoon JJ. Who's to blame? How performance evaluation and partisanship influence responsibility attribution in grand coalition governments. 2022. Paper presented at Democracy Divided? People, Politicians and the Politics of Populism, Wien, Austria. doi: 10.1111/1475-6765.12478

Ghosh A, Tschiatschek S, Devlin S, Singla A. Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. In Rodrigo MM, Matsuda N, Cristea AI, Dimitrova V, editors, Artificial Intelligence in Education: 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part I. Cham: Springer. 2022. p. 28-40. (Lecture Notes in Computer Science, Vol. 13355). doi: 10.1007/978-3-031-11644-5_3

Tschiatschek S, Han D. Option Transfer and SMDP Abstraction with Successor Features. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2022. p. 3036-3042 doi: 10.24963/ijcai.2022/421

Lindner D, Tschiatschek S, Hofmann K, Krause A. Interactively Learning Preference Constraints in Linear Bandits. In Proceedings of the 39th International Conference on Machine Learning: 17-23 July 2022, Baltimore, Maryland, USA. 2022. (Proceedings of Machine Learning Research, Vol. 162).

Kinast A, Braune R, Dörner KF, Rindlerle-Ma S, Weckenborg C. A hybrid metaheuristic solution approach for the cobot assignment and job shop scheduling problem. Journal of Industrial Information Integration. 2022 Jul;28:100350. Epub 2022 Apr 26. doi: 10.1016/j.jii.2022.100350

Dragomir AG, Van Woensel T, Dörner KF. The pickup and delivery problem with alternative locations and overlapping time windows. Computers & Operations Research. 2022 Jul;143:105758. doi: 10.1016/j.cor.2022.105758

Cuchiero C, Reisinger C, Rigger S. Implicit and fully discrete approximation of the supercooled Stefan problem in the presence of blow-ups. arXiv.org. 2022 Jun 29. doi: 10.48550/arXiv.2206.14641

Jalaldoust A, Hlavácková-Schindler K, Plant C. Causal Discovery in Hawkes Processes by Minimum Description Length. In Thirty-Sixth AAAI Conference on Artificial Intelligence; Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence; The Twelveth Symposium on Educational Advances in Artificial Intelligence. Palo Alto, California: AAAI Press. 2022. p. 6978-6987. (Proceedings of the ... National Conference on Artificial Intelligence; No. 6, Vol. 36). doi: 10.48550/arXiv.2206.06124, 10.1609/aaai.v36i6.20656

Tschiatschek S, Knobelsdorf M, Singla A. Equity and Fairness of Bayesian Knowledge Tracing. In Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022. 2022 doi: 10.5281/zenodo.6853012

Bettiol E, Bomze I, Létocart L, Rinaldi F, Traversi E. Mining for diamonds: Matrix generation algorithms for binary quadratically constrained quadratic problems. Computers and Operations Research. 2022 Jun;142:105735. doi: 10.1016/j.cor.2022.105735