| Exploiting the Full Power of Pearl's Causality in Probabilistic Logic Programming. K Rückschloß, F Weitkämper ICLP Workshops, 2022 | 7 | 2022 |
| On the independencies hidden in the structure of a probabilistic logic program K Rückschloß, F Weitkämper arXiv preprint arXiv:2308.15865, 2023 | 1 | 2023 |
| "What if?" in Probabilistic Logic Programming R Kiesel, K Rückschloß, F Weitkämper arXiv preprint arXiv:2305.15318, 2023 | 1 | 2023 |
| Reasoning about Independence in Open Universe Probabilistic Logic Programs. K Rückschloß, F Weitkämper ICLP Workshops, 2021 | 1 | 2021 |
| What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to “What If?” Queries K Rückschloß, F Weitkämper International Conference on Inductive Logic Programming, 93-108, 2023 | | 2023 |
| "Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming K Rückschloß, F Weitkämper Proceedings 39th International Conference on Logic Programming, 58–64, 2023 | | 2023 |
| On the Subtlety of Causal Reasoning in Probabilistic Logic Programming: A Bug Report about the Causal Interpretation of Annotated Disjunctions K Rückschloß, F Weitkämper | | 2022 |
| Correct Causal Inference in Probabilistic Logic Programming. K Rückschloß, F Weitkämper ICLP Workshops, 2022 | | 2022 |
| Learning causal relations from observations: A method and its application to the spread of the ‘fear factor’in financial markets J Gottal | | |
| Two Programs, one Distribution?-On Distinguishing Structures of Probabilistic Logic Programs K Rückschloß, F Weitkämper | | |
Felix WeitkämperWissenschaftlicher Mitarbeiter, LMU MünchenBestätigte E-Mail-Adresse bei lmu.de
