Conversational Human-Aware Technology for Optimisation

Project Information

CHAT-Opt

Grant agreement ID: 101002802

DOI

10.3030/101002802

EC signature date 30 March 2021

Start date 1 June 2021

End date 31 May 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 893 125,00

EU contribution

€ 1 893 125,00

Coordinated by

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Open Research Data Pilot (1)

Data Management Plan

Publications

Other (3)

Things we underestimated while developing the CPMpy constraint modelling library

Author(s): Tias Guns, Dimosthenis Tsouros
Published in: The 22nd workshop on Constraint Modelling and Reformulation, 2023
Publisher: online: https://modref.github.io/ModRef2023.html

Holy Grail 2.0: From Natural Language to Constraint Models

Author(s): Dimosthenis Tsouros, Helene Verhaeghe, Serdar Kadioglu, Tias Guns
Published in: Progress Toward the Holy Grail workshop at CP2023, 2023
Publisher: Online: https://freuder.wordpress.com/progress-towards-the-holy-grail-workshops/pthg-23-the-sixth-workshop-on-progress-towards-the-holy-grail/
DOI: 10.48550/arxiv.2308.01589

Sudoku Assistant - An AI-powered app to help solve pen-and-paper Sudokus

Author(s): Tias Guns, Milan Pesa, Maxime Mulamba, Ignace Bleukx, Emilio Gamba, and Senne Berden
Published in: BNAIC/BeNeLearn AI & ML conference for Belgium, Netherlands & Luxembourg, 2022
Publisher: Benelux Association for Artificial Intelligence (BNVKI)

Conference proceedings (13)

Learning to Learn in Interactive Constraint Acquisition

Author(s): Dimosthenis Tsouros, Senne Berden, Tias Guns
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 8, 2024, Page(s) 8154-8162
Publisher: AAAI Press
DOI: 10.1609/aaai.v38i8.28655

Simplifying Step-wise Explanation Sequences

Author(s): Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns
Published in: Leibniz International Proceedings in Informatics (LIPIcs), Issue Volume 280, 2023, Page(s) 11:1 - 11:20
Publisher: Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
DOI: 10.4230/lipics.cp.2023.11

Guided Bottom-Up Interactive Constraint Acquisition

Author(s): Dimosthenis Tsouros, Senne Berden, Tias Guns
Published in: Leibniz International Proceedings in Informatics (LIPIcs), 2023, Page(s) 36:1 - 36:20
Publisher: Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
DOI: 10.4230/lipics.cp.2023.36

An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems

Author(s): Bastián Véjar, Gaël Aglin, Ali İrfan Mahmutoğulları, Siegfried Nijssen, Pierre Schaus, Tias Guns
Published in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research, proceedings, 2024, Page(s) 253--262, ISBN 978-3-031-60599-4
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-60599-4_17

Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions

Author(s): Ignace Bleukx, Senne Berden, Lize Coenen, Nicholas Decleyre, Tias Guns
Published in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research. Lecture Notes in Computer Science, Issue volume 13292, 2022, Page(s) 64-73
Publisher: Springer
DOI: 10.1007/978-3-031-08011-1_6

Learning Constraint Programming Models from Data Using Generate-And-Aggregate

Author(s): Mohit Kumar, Samuel Kolb, Tias Guns
Published in: 28th International Conference on Principles and Practice of Constraint Programming (CP 2022). Leibniz International Proceedings in Informatics (LIPIcs), Issue Volume 235, 2022, Page(s) 29:1 - 29:16, ISBN 978-3-95977-240-2
Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik (lzi)
DOI: 10.4230/lipics.cp.2022.29

Decision-Focused Learning: Through the Lens of Learning to Rank

Author(s): Jayanta Mandi, Víctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns
Published in: Proceedings of the 39th International Conference on Machine Learning;, Issue Vol. 162, 2022, Page(s) 14935 - 14947
Publisher: PMLR

Mutational Fuzz Testing for Constraint Modeling Systems.

Author(s): Vanroose, Wout; Bleukx, Ignace; Devriendt, jo; Tsouros, dimos; Verhaeghe, hélène; Guns, tias
Published in: 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024, Page(s) 29:1--29:25, ISBN 978-3-95977-336-2
Publisher: "Schloss Dagstuhl -- Leibniz-Zentrum f{\""u}r Informatik"
DOI: 10.4230/lipics.cp.2024.29

Sudoku Assistant – an AI-Powered App to Help Solve Pen-and-Paper Sudokus

Author(s): Tias Guns, Emilio Gamba, Ignace Bleukx, Senne Berden, Milan Pesa
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue vol. 37 (13), 2023, Page(s) 16440-16442
Publisher: AAAI press
DOI: 10.1609/aaai.v37i13.27072

Contrastive Losses and Solution Caching for Predict-and-Optimize

Author(s): Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
Published in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021, Page(s) 2833-2840
Publisher: ijcai.org
DOI: 10.24963/ijcai.2021/390

Constraint Modelling with LLMs Using In-Context Learning.

Author(s): Michailidis, Kostis; Tsouros, Dimos; Guns, Tias
Published in: 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024, Page(s) 20:1--20:27, ISBN 978-3-95977-336-2
Publisher: "Schloss Dagstuhl -- Leibniz-Zentrum f{\""u}r Informatik"
DOI: 10.4230/lipics.cp.2024.20

Efficiently Explaining CSPs with Unsatisfiable Subset Optimization

Author(s): Emilio Gamba, Bart Bogaerts, Tias Guns
Published in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021, Page(s) 1381-1388
Publisher: ijcai.org
DOI: 10.24963/ijcai.2021/191

Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation

Author(s): Senne Berden, Mohit Kumar, Samuel Kolb, Tias Guns:
Published in: 28th International Conference on Principles and Practice of Constraint Programming (CP 2022). Leibniz International Proceedings in Informatics (LIPIcs), Issue Volume 235, 2022, Page(s) 8:1-8:16, ISBN 978-3-95977-240-2
Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik (lzi)
DOI: 10.4230/lipics.cp.2022.8

Peer reviewed articles (5)

Probability Estimation and Structured Output Prediction for Learning Preferences in Last Mile Delivery

Author(s): Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns
Published in: Computers & Industrial Engineering, Issue 189, 2023, Page(s) 109932, ISSN 0360-8352
Publisher: Pergamon Press Ltd.
DOI: 10.2139/ssrn.4363937

Perception-based constraint solving for sudoku images

Author(s): Maxime Mulamba, Jayanta Mandi, Ali İrfan Mahmutoğulları, Tias Guns
Published in: Constraints, Issue 29, 2024, Page(s) 112-151, ISSN 1383-7133
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10601-024-09372-9

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

Author(s): Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
Published in: Journal of Artificial Intelligence Research, Issue 80, 2024, Page(s) 1623-1701, ISSN 1076-9757
Publisher: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.15320

Learn and route: learning implicit preferences for vehicle routing

Author(s): Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi, Tias Guns
Published in: Constraints, Issue vol. 28; iss. 3, 2023, Page(s) 363 - 396, ISSN 1383-7133
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10601-023-09363-2

Generalizing Constraint Models in Constraint Acquisition

Author(s): Dimos Tsouros, Senne Berden, Steven Prestwich, Tias Guns
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 39, 2025, Page(s) 11362-11371, ISSN 2374-3468
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v39i11.33236