ACP Summer School on Machine Learning for Constraint Programming

Ku Leuven, where Prof. Tias Guns is teaching, is organizing the ACP (Association for Constraint Programming) Summer School on “Machine Learning for Constraint Programming”, from 10 to 14 July.
The summer school will have a mix of talks and hands-on lab sessions, given by experts in the integration of ML and constraint solving.
The expert that will be intervening will be: Hendrik Blockeel, Quentin Cappart, Ferdinando Fioretto, Tias Guns, Elias Khalil, Wouter Kool, Lars Kotthoff, Michele Lombardi, Dimos Tsouros and Yingqian Zhang.
Topics will range from introductory sessions to sessions on automated tuning, prediction-based solving, reinforcement learning for branching and solution approximation, decision-focused learning, constraint acquisition and more. Only basic ML/constraint knowledge is required to participate.
There will also be a poster session for participants to present their own work, and a small-groups hackathon to experiment and get feedback on integrations that they care about.
To know more about and to register visit: https://school.a4cp.org/summer2023/
Latest News
This article opens a series dedicated to the winners of the Beluga Competition, the international challenge hosted by TUPLES and Airbus from November 2024 to April 2025.
At this year's CP2025 conference, several members of the Tuples.ai project presented three significant papers that explore various aspects of constraint programming and scheduling. These contributions demonstrate the project's commitment to developing reliable, robust, and explainable AI systems for planning and scheduling.
Our coordinator’s invited talk explored how graph-based approaches can push the boundaries of heuristic search, opening new perspectives for automated planning.
At the 2025 edition of the International Conference on Machine Learning (ICML), Laurens Devos and other members of KU Leuven presented their latest research on model compression.