Proportional dependencies and asymptotics of probabilistic representations. - Felix Weitkämper (ICLP Workshops, 2020)

Reasoning about Independence in Open Universe Probabilistic Logic Programs. - Kilian Rueckschloss; Felix Weitkämper (ICLP Workshops, 2021)

Modelling Infectious Disease Dynamics with Probabilistic Logic Programming. - Felix Weitkämper; Beatrice Sarbu; Kailin Sun (ICLP Workshops, 2021)

An Asymptotic Analysis of Probabilistic Logic Programming, with Implications for Expressing Projective Families of Distributions. - Felix Q. Weitkämper (Theory Pract. Log. Program., 2021)

Correct Causal Inference in Probabilistic Logic Programming. - Kilian Rückschloß; Felix Weitkämper (ICLP Workshops, 2022)

Exploiting the Full Power of Pearl's Causality in Probabilistic Logic Programming. - Kilian Rückschloß; Felix Weitkämper (ICLP Workshops, 2022)

Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies. - Felix Weitkämper (ILP, 2022)

Statistical Relational Artificial Intelligence with Relative Frequencies: A Contribution to Modelling and Transfer Learning across Domain Sizes. - Felix Weitkämper (CoRR, 2022)

Projectivity revisited. - Felix Weitkämper (CoRR, 2022)

asymptoticplp: Approximating probabilistic logic programs on large domains. - Bao Loi Quach; Felix Weitkämper (ICLP Workshops, 2023)

On the Subtlety of Causal Reasoning in Probabilistic Logic Programming: A Bug Report about the Causal Interpretation of Annotated Disjunctions. - Kilian Rückschloß; Felix Weitkämper (ICLP Workshops, 2023)

What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to "What If?" Queries. - Kilian Rückschloß; Felix Weitkämper (ILP, 2023)

Statistical Relational Structure Learning with Scaled Weight Parameters. - Felix Weitkämper; Dmitriy Ravdin; Ramona Fabry (ILP, 2023)

A general approach to asymptotic elimination of aggregation functions and generalized quantifiers. - Vera Koponen; Felix Weitkämper (CoRR, 2023)

On the Independencies Hidden in the Structure of a Probabilistic Logic Program. - Kilian Rückschloß; Felix Weitkämper (ICLP, 2023)

"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming. - Kilian Rückschloß; Felix Weitkämper (ICLP, 2023)

SimPLoID: Harnessing probabilistic logic programming for infectious disease epidemiology. - Felix Weitkämper; Ameen Almiftah; Kailin Sun (CoRR, 2023)

"What if?" in Probabilistic Logic Programming. - Rafael Kiesel; Kilian Rückschloß; Felix Weitkämper (Theory Pract. Log. Program., 2023)

Asymptotic elimination of partially continuous aggregation functions in directed graphical models. - Vera Koponen; Felix Weitkämper (Inf. Comput., 2023)

Projective families of distributions revisited. - Felix Weitkämper (Int. J. Approx. Reason., 2023)

Harnessing Probabilistic Logic Programming for the Transparent Local Modelling of Infectious Diseases. - Felix Weitkämper; Ameen Almiftah; Kailin Sun (PI-AI@KI, 2024)

Understanding Domain-Size Generalization in Markov Logic Networks. - Florian Chen; Felix Weitkämper; Sagar Malhotra (ECML/PKDD (7), 2024)

Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies. - Felix Weitkämper (J. Artif. Intell. Res., 2024)

The generalised distribution semantics and projective families of distributions. - Felix Weitkämper (J. Log. Algebraic Methods Program., 2024)

On the relative asymptotic expressivity of inference frameworks. - Vera Koponen; Felix Weitkämper (Log. Methods Comput. Sci., 2024)

Scaling the weight parameters in Markov logic networks and relational logistic regression models. - Felix Q. Weitkämper (Mach. Learn., 2025)

How Artificial Intelligence Leads to Knowledge Why: An Inquiry Inspired by Aristotle's Posterior Analytics. - Guus Eelink; Kilian Rückschloß; Felix Weitkämper (CoRR, 2025)

How Rules Represent Causal Knowledge: Causal Modeling with Abductive Logic Programs. - Kilian Rückschloß; Felix Weitkämper (CoRR, 2025)