collaborators

5 papers

cs.AI2026

Syntactic Simplification of OWL Class Expressions

Alkid Baci, N'Dah Jean Kouagou, Caglar Demir +1

Class expression learning often produces complex OWL class expressions that are difficult to interpret and reason over. However, by following theoretically grounded simplification…

cs.CL2026

Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs

Alkid Baci, Luke Friedrichs, Caglar Demir +2

Knowledge graph embedding (KGE) models perform well on link prediction but struggle with unseen entities, relations, and especially literals, limiting their use in dynamic, heterog…

cs.AI2025

Neural Reasoning for Robust Instance Retrieval in

Louis Mozart Kamdem Teyou, Luke Friedrichs, N'Dah Jean Kouagou +4

Concept learning exploits background knowledge in the form of description logic axioms to learn explainable classification models from knowledge bases. Despite recent breakthroughs…

cs.LG2025

Explainable Benchmarking through the Lense of Concept Learning

Quannian Zhang, Michael Röder, Nikit Srivastava +2

Evaluating competing systems in a comparable way, i.e., benchmarking them, is an undeniable pillar of the scientific method. However, system performance is often summarized via a s…

cs.LG2025

Diving Deep: Forecasting Sea Surface Temperatures and Anomalies

Ding Ning, Varvara Vetrova, Karin R. Bryan +4

This overview paper details the findings from the Diving Deep: Forecasting Sea Surface Temperatures and Anomalies Challenge at the European Conference on Machine Learning and Princ…