Felix Weitkämper

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Logic Programming

Directed Graphical Models

Relative Frequencies

Statistical Relational

Top Venues

J. Log. Algebraic Methods Program.

Publications

Florian Chen, Felix Weitkämper, Sagar Malhotra
Understanding Domain-Size Generalization in Markov Logic Networks. CoRR (2024)
Felix Weitkämper
The generalised distribution semantics and projective families of distributions. J. Log. Algebraic Methods Program. 139 (2024)
Felix Weitkämper
Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies. J. Artif. Intell. Res. 80 (2024)
Kilian Rückschloß, Felix Weitkämper
"Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming. CoRR (2023)
Kilian Rückschloß, Felix Weitkämper
On the Subtlety of Causal Reasoning in Probabilistic Logic Programming: A Bug Report about the Causal Interpretation of Annotated Disjunctions. ICLP Workshops (2023)
Bao Loi Quach, Felix Weitkämper
asymptoticplp: Approximating probabilistic logic programs on large domains. ICLP Workshops (2023)
Vera Koponen, Felix Weitkämper
A general approach to asymptotic elimination of aggregation functions and generalized quantifiers. CoRR (2023)
Kilian Rückschloß, Felix Weitkämper
What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to "What If?" Queries. ILP (2023)
Kilian Rückschloß, Felix Weitkämper
On the Independencies Hidden in the Structure of a Probabilistic Logic Program. CoRR (2023)
Felix Weitkämper, Dmitriy Ravdin, Ramona Fabry
Statistical Relational Structure Learning with Scaled Weight Parameters. ILP (2023)
Felix Weitkämper
Projective families of distributions revisited. Int. J. Approx. Reason. 162 (2023)
Rafael Kiesel, Kilian Rückschloß, Felix Weitkämper
"What if?" in Probabilistic Logic Programming. CoRR (2023)
Vera Koponen, Felix Weitkämper
Asymptotic elimination of partially continuous aggregation functions in directed graphical models. Inf. Comput. 293 (2023)
Felix Weitkämper, Ameen Almiftah, Kailin Sun
SimPLoID: Harnessing probabilistic logic programming for infectious disease epidemiology. CoRR (2023)
Rafael Kiesel, Kilian Rückschloß, Felix Weitkämper
"What if?" in Probabilistic Logic Programming. Theory Pract. Log. Program. 23 (4) (2023)
Felix Weitkämper
Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies. ILP (2022)
Kilian Rückschloß, Felix Weitkämper
Correct Causal Inference in Probabilistic Logic Programming. ICLP Workshops (2022)
Felix Weitkämper
Projectivity revisited. CoRR (2022)
Kilian Rückschloß, Felix Weitkämper
Exploiting the Full Power of Pearl's Causality in Probabilistic Logic Programming. ICLP Workshops (2022)
Felix Weitkämper
Statistical Relational Artificial Intelligence with Relative Frequencies: A Contribution to Modelling and Transfer Learning across Domain Sizes. CoRR (2022)
Vera Koponen, Felix Weitkämper
On the relative asymptotic expressivity of inference frameworks. CoRR (2022)
Felix Weitkämper
The generalised distribution semantics and projective families of distributions. CoRR (2022)
Felix Weitkämper, Beatrice Sarbu, Kailin Sun
Modelling Infectious Disease Dynamics with Probabilistic Logic Programming. ICLP Workshops (2021)
Kilian Rueckschloss, Felix Weitkämper
Reasoning about Independence in Open Universe Probabilistic Logic Programs. ICLP Workshops (2021)
Felix Weitkämper
Scaling the weight parameters in Markov logic networks and relational logistic regression models. CoRR (2021)
Vera Koponen, Felix Weitkämper
Asymptotic elimination of partially continuous aggregation functions in directed graphical models. CoRR (2021)
Felix Weitkämper
An asymptotic analysis of probabilistic logic programming with implications for expressing projective families of distributions. CoRR (2021)
Felix Weitkämper
Proportional dependencies and asymptotics of probabilistic representations. ICLP Workshops (2020)