Conversational Human-Aware Technology for Optimisation

Información del proyecto

CHAT-Opt

Identificador del acuerdo de subvención: 101002802

DOI

10.3030/101002802

Fecha de la firma de la CE 30 Marzo 2021

Fecha de inicio 1 Junio 2021

Fecha de finalización 31 Mayo 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 893 125,00

Aportación de la UE

€ 1 893 125,00

Coordinado por

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Open Research Data Pilot (1)

Data Management Plan

Publicaciones

Other (3)

Things we underestimated while developing the CPMpy constraint modelling library

Autores: Tias Guns, Dimosthenis Tsouros
Publicado en: The 22nd workshop on Constraint Modelling and Reformulation, 2023
Editor: online: https://modref.github.io/ModRef2023.html

Holy Grail 2.0: From Natural Language to Constraint Models

Autores: Dimosthenis Tsouros, Helene Verhaeghe, Serdar Kadioglu, Tias Guns
Publicado en: Progress Toward the Holy Grail workshop at CP2023, 2023
Editor: 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

Autores: Tias Guns, Milan Pesa, Maxime Mulamba, Ignace Bleukx, Emilio Gamba, and Senne Berden
Publicado en: BNAIC/BeNeLearn AI & ML conference for Belgium, Netherlands & Luxembourg, 2022
Editor: Benelux Association for Artificial Intelligence (BNVKI)

Conference proceedings (11)

Learning to Learn in Interactive Constraint Acquisition

Autores: Dimosthenis Tsouros, Senne Berden, Tias Guns
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 8, 2024, Página(s) 8154-8162
Editor: AAAI Press
DOI: 10.1609/aaai.v38i8.28655

Simplifying Step-wise Explanation Sequences

Autores: Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns
Publicado en: Leibniz International Proceedings in Informatics (LIPIcs), Edición Volume 280, 2023, Página(s) 11:1 - 11:20
Editor: Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
DOI: 10.4230/lipics.cp.2023.11

Guided Bottom-Up Interactive Constraint Acquisition

Autores: Dimosthenis Tsouros, Senne Berden, Tias Guns
Publicado en: Leibniz International Proceedings in Informatics (LIPIcs), 2023, Página(s) 36:1 - 36:20
Editor: Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
DOI: 10.4230/lipics.cp.2023.36

An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems

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

Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions

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

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

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

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

Autores: Jayanta Mandi, Víctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns
Publicado en: Proceedings of the 39th International Conference on Machine Learning;, Edición Vol. 162, 2022, Página(s) 14935 - 14947
Editor: PMLR

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

Autores: Tias Guns, Emilio Gamba, Ignace Bleukx, Senne Berden, Milan Pesa
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición vol. 37 (13), 2023, Página(s) 16440-16442
Editor: AAAI press
DOI: 10.1609/aaai.v37i13.27072

Contrastive Losses and Solution Caching for Predict-and-Optimize

Autores: Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
Publicado en: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021, Página(s) 2833-2840
Editor: ijcai.org
DOI: 10.24963/ijcai.2021/390

Efficiently Explaining CSPs with Unsatisfiable Subset Optimization

Autores: Emilio Gamba, Bart Bogaerts, Tias Guns
Publicado en: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021, Página(s) 1381-1388
Editor: ijcai.org
DOI: 10.24963/ijcai.2021/191

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

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

Peer reviewed articles (1)

Learn and route: learning implicit preferences for vehicle routing

Autores: Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi, Tias Guns
Publicado en: Constraints, Edición vol. 28; iss. 3, 2023, Página(s) 363 - 396, ISSN 1383-7133
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10601-023-09363-2