Publications

Here are some selected publications.

You can find a fuller list on my Google Scholar profile page.

IndiCon: Selecting SAT Encodings for Individual Pseudo-Boolean and Linear Integer Constraints

Published in Proceedings of the 36th International Conference on Tools with Artificial Intelligence (ICTAI 2024) , 2024

Learning to select SAT encodings for individual constraints in a CSP instance.

Recommended citation: Felix Ulrich-Oltean, Peter Nightingale, James A. Walker, "IndiCon: Selecting SAT Encodings for Individual Pseudo-Boolean and Linear Integer Constraints", Proceedings of the 36th International Conference on Tools with Artificial Intelligence (ICTAI 2024) https://pure.york.ac.uk/portal/en/publications/indicon-selecting-sat-encodings-for-individual-pseudo-boolean-and

Learning When to Use Automatic Tabulation in Constraint Model Reformulation

Published in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence , 2023

Using ML strategies to decide whether to reformulate parts of constraint models as table constraints.

Recommended citation: Carlo Cena, Özgür Akgün, Zeynep Kiziltan, Ian Miguel, Peter Nightingale, Felix Ulrich-Oltean, "Learning When to Use Automatic Tabulation in Constraint Model Reformulation", Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence Main Track. Pages 1902-1910. https://doi.org/10.24963/ijcai.2023/211

SAT encodings for Pseudo-Boolean constraints together with at-most-one constraints

Published in Artificial Intelligence, 2021

A thorough presentation of SAT encodings for pseudo-boolean constraints optimised for the existence of at-most-one constraints on the variables in their scope. The first paper I was able to contribute to during my PhD.

Recommended citation: Miquel Bofill, Jordi Coll, Peter Nightingale, Josep Suy, Felix Ulrich-Oltean, Mateu Villaret, "SAT encodings for Pseudo-Boolean constraints together with at-most-one constraints", Artificial Intelligence, Volume 302, 2022, 103604, ISSN 0004-3702. https://doi.org/10.1016/j.artint.2021.103604