An asymptotic analysis of probabilistic logic programming, with implications for expressing projective families of distributions FQ Weitkämper Theory and Practice of Logic Programming 21 (6), 802-817, 2021 | 9 | 2021 |
Scaling the weight parameters in Markov logic networks and relational logistic regression models F Weitkämper arXiv preprint arXiv:2103.15140, 2021 | 8 | 2021 |
Exploiting the Full Power of Pearl's Causality in Probabilistic Logic Programming. K Rückschloß, F Weitkämper ICLP Workshops, 2022 | 7 | 2022 |
Asymptotic elimination of partially continuous aggregation functions in directed graphical models V Koponen, F Weitkämper Information and Computation 293, 105061, 2023 | 4 | 2023 |
Modelling Infectious Disease Dynamics with Probabilistic Logic Programming. F Weitkämper, B Sarbu, K Sun ICLP Workshops, 2021 | 2 | 2021 |
Statistical Relational Structure Learning with Scaled Weight Parameters F Weitkämper, D Ravdin, R Fabry International Conference on Inductive Logic Programming, 139-153, 2023 | 1 | 2023 |
Projective families of distributions revisited F Weitkämper International Journal of Approximate Reasoning 162, 109031, 2023 | 1 | 2023 |
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 RÜCKSCHLO, F Weitkämper Theory and Practice of Logic Programming 23 (4), 884-899, 2023 | 1 | 2023 |
asymptoticplp: Approximating probabilistic logic programs on large domains BL Quach, F Weitkämper ICLP, 2023 | 1 | 2023 |
On the relative asymptotic expressivity of inference frameworks V Koponen, F Weitkämper arXiv preprint arXiv:2204.09457, 2022 | 1 | 2022 |
Reasoning about Independence in Open Universe Probabilistic Logic Programs. K Rückschloß, F Weitkämper ICLP Workshops, 2021 | 1 | 2021 |
Understanding Domain-Size Generalization in Markov Logic Networks F Chen, F Weitkämper, S Malhotra arXiv preprint arXiv:2403.15933, 2024 | | 2024 |
SimPLoID: Harnessing probabilistic logic programming for infectious disease epidemiology F Weitkämper, A Almiftah, K Sun arXiv preprint arXiv:2312.00934, 2023 | | 2023 |
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 arXiv preprint arXiv:2308.15883, 2023 | | 2023 |
A general approach to asymptotic elimination of aggregation functions and generalized quantifiers V Koponen, F Weitkaemper arXiv preprint arXiv:2304.07865, 2023 | | 2023 |
The generalised distribution semantics and projective families of distributions F Weitkämper arXiv preprint arXiv:2211.06751, 2022 | | 2022 |
Functional lifted Bayesian networks: statistical relational learning and reasoning with relative frequencies F Weitkämper International Conference on Inductive Logic Programming, 142-156, 2022 | | 2022 |
Projectivity revisited F Weitkämper arXiv preprint arXiv:2207.00625, 2022 | | 2022 |