Author

Paul Groth

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#artificial intelligence Feb 2026

Tabular Foundation Models Can Learn Association Rules

This work introduces a model-agnostic association rule learning framework that extracts association rules from any conditional probabilistic model over tabular data, and introduces TabProbe, an instantiation of this framework that utilizes TFMs as conditional probability estimators to learn association rules out-of-the...

Erkan Karabulut, Daniel Daza, Paul Groth et al. · arXiv.org · 0 citations

Review

Future Generation Computer Systems

Systematic Literature Review (SLR) is based on the analysis of 82 research articles, that either propose or benefit from ontologies with respect to DT, and identifies open issues and possible research directions on the usage of ontologies and knowledge graphs in DTs.

Erkan Karabulut, S. F. Pileggi, Paul Groth et al. · 0 citations