Pablo Barceló, Alexander Kozachinskiy, Miguel Romero, Bernardo Subsercaseaux, and José Verschae. (2025)

Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations

Proceedings of the ACM on Management of Data

Pablo Barceló, Alexander Kozachinskiy, Miguel Romero, Bernardo Subsercaseaux, José Verschae. 2025. Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations. Proc. ACM Manag. Data 3, 2, Article 97 (May 2025), 26 pages. https://doi.org/10.1145/3725234 (2025)

Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations

PODS - ACM Conference on Principles of Database Systems

Huang X., Barcelo P., Bronstein M., Ceylan I., Galkin M., Reutter J., Romero-Orth M. (2025)

How Expressive are Knowledge Graph Foundation Models?

Proceedings of Fourty?second International Conference on Machine Learning

(2025)

How Expressive are Knowledge Graph Foundation Models?

ICML - International Conference on Machine Learning

(2025)

Link Prediction with Relational Hypergraphs

TMLR - Transactions on Machine Learning Research

Diego Figueira, Rémi Morvan, and Miguel Romero. 2025. Minimizing Conjunctive Regular Path Queries. Proc. ACM Manag. Data 3, 2, Article 100 (May 2025), 25 pages. https://doi.org/10.1145/3725237 (2025)

Minimizing Conjunctive Regular Path Queries

Proceedings of the ACM on Management of Data

Diego Figueira, Rémi Morvan, and Miguel Romero. 2025. Minimizing Conjunctive Regular Path Queries. Proc. ACM Manag. Data 3, 2, Article 100 (May 2025), 25 pages. https://doi.org/10.1145/3725237 (2025)

Minimizing Conjunctive Regular Path Queries

PODS - ACM Conference on Principles of Database Systems

Arenas M., Barcelo P., Kozachinskiy A., Romero M., Subercaseaux B. (2025)

On Computing Probabilistic Explanations for Decision Trees

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 83

(2024)

The Distributional Uncertainty of the SHAP Score in Explainable Machine Learning

EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE 971 - 978

Romero M., Cifuentes S., Bertossi L., Pardal N., Abriola S., Martinez M. (2024)

The Distributional Uncertainty of the SHAP Score in Explainable Machine Learning

EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE 971 - 978

Huang X., Romero Orth M., ?lkan Ceylan I., Barceló P. (2023)

A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

Proceedings of the Thirty-Seventh Annual Conference on Advances in Neural Information Processing Sys

Romero M., Wrochna M., Zivny S. (2023)

Pliability and Approximating Max-CSPs

JOURNAL OF THE ACM 70 6