Publications

The first objective of TUPLES is to advance the scientific state of the art in the field of Trustworthy AI and its application in the design and management of safe, robust, scalable and explainable Planning & Scheduling decision support systems and tools.The original contributions produced by the TUPLES consortium partners, as part of the project, will be linked below, as soon as they are published.

Publications

Francesco Cavaliere, Luca Accorsi, Demetrio Laganà, Roberto Musmanno, Daniele Vigo

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Transportation Research Part E: Logistics and Transportation Review, Volume 186, June 2024

Daniel Fiser, Marcel Steinmetz

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Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS-24)

Chaahat Jain, Lorenzo Cascioli, Laurens Devos, Marcel Vinzent, Marcel Steinmetz, Jesse Davis, Jörg Hoffmann

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Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS)

Laurens Devos, Lorenzo Cascioli, Jesse Davis

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Proceedings of the AAAI Conference on Artificial Intelligence

Dillon Z. Chen, Felipe Trevizan, Sylvie Thiébaux

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Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS-24)

Gregor Behnke; Marcel Steinmetz

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34th International Conference on Automated Planning and Scheduling (ICAPS-24)

Dillon Z. Chen, Sylvie Thiébaux

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Proceedings of the 17th International Symposium on Combinatorial Search (SOCS-24)

Jan Eisenhut, Xandra Schuler, Daniel Fišer, Daniel Höller, Maria Christakis, Jörg Hoffmann

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Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS’24)

Dimosthenis Tsouros, Senne Berden, Tias Guns

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Proceedings of the AAAI Conference on Artificial Intelligence

Dillon Z. Chen, Sylvie Thiébaux, Felipe Trevizan

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Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24)

Ryan Xiao Wang, Sylvie Thiébaux

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Proceedings of the 34th International Conference on Automated Planning and Scheduling (CAPS-24)

Marcel Steinmetz, Sylvie Thiébaux, Daniel Höller, and Florent Teichteil-Königsbuch

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Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS’24)

Michaela Urbanovská, Antonín Komenda

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Proceedings of the 16th International Conference on Agents and Artificial Intelligence – Volume 3: ICAART

L. Zahradník, J. Neumann, G. Šír

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NeurIPS 2023 Second Table Representation Learning Workshop

Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny

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NeurIPS 2023, Annual Conference on Neural Information Processing Systems

Laurens Devos, Lorenzo Cascioli, Jesse Davis
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Proceedings of the Verifying Learning AI Systems Workshop; 2023

Dimosthenis Tsouros, Senne Berden, Tias Guns
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Leibniz International Proceedings in Informatics; 2023

Lorenzo Cascioli, Laurens Devos, Jesse Davis
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Proceedings of Verifying Learning AI Systems Workshop; 2023

Authors: Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns
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Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP), 2023

Authors: Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi
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Differentiable Almost Everything workshop at the International Conference on Machine Learning (ICML), 2023

Authors: Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis
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Machine Learning and Knowledge Discovery in Databases (ECML PKDD) Springer Nature Switzerland, 2023

Authors: Maaike Van Roy, Peter Robberechts, Wen Chi Yang, Luc De Raedt, Jesse Davis
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Journal Of Artificial Intelligence Research, Vol. 77, 2023

Authors: Renee Selvey, Alban Grastien, Sylvie Thiébaux
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Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2023

Authors: Samuele Marro, Michele Lombardi
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40th International Conference on Machine Learning (ICML) 2023

Authors: Emir Demirović, Emmanuel Hebrard, Louis Jean
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Proceedings of the 40th International Conference on Machine Learning (ICML) 2023

Authors: Sofia Morandini, Federico Fraboni, Enzo Balatti, Aranka Hackmann, Hannah Brendel, Gabriele Puzzo, Lucia Volpi, Davide Giusino, Marco De Angelis, Luca Pietrantoni
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AHFE (2023) International Conference

Authors: Marcel Vinzent, Siddhant Sharma, Jörg Hoffmann
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Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) 2023

Authors: Xandra Schuler, Jan Eisenhut, Daniel Höller, Daniel Fišer and Jörg Hoffmann
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Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS) 2023

Authors: Jan Eisenhut, Álvaro Torralba, Maria Christakis, Jörg Hoffmann
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Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS), 2023

Authors: Marcel Vinzent, Min Wu, Haoze Wu, Jörg Hoffmann
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Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS), 2023

Authors: Aleena Siji, Rebecca Eifler, Daniel Fišer, Jörg Hoffmann
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Proceedings of the ICAPS Workshop on Human-Aware and Explainable Planning (HAXP) 2023

Authors: Florent Teichteil-Koenigsbuch, Guillaume Poveda, Guillermo Gonzales de Garibay Barba, Tim Luchterhand, Sylvie Thiébaux
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Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS) 2023

Keynotes & Seminars

Jesse Davis is a keynote speaker at the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023) in Arras (France), September 2023.
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By Tias Guns at the ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming.
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By Tias Guns at the ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming
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By Michele Lombardi at the ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming
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Constraint Acquisition: Learning Constraint Models from Data by Dimos Tsouros at the ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming.
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Invited talk on “Optimisation in Machine Learning” by Tias Guns at VAIA, June 2023.
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Invited talk on “Measuring Passing Creativity in Soccer” by Jesse Davis at the World Congress on Science and Football, Groningen. May 2023.
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Invited talk “Learning from user and environment in combinatorial optimisation”by Tias Guns at IPAM workshop. Feb 2023
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Invited seminar by Tias Guns on “Predict and Optimize: combinatorial optimisation with machine-learning based input” at VAIA (Flemish AI Academy). March 2023.
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Conferences & Workshop

RDDPS Workshop at the 34th International Conference on Automated Planning and Scheduling ICAPS.

Organizers: Daniel Höller, Jörg Hoffmann, Marcel Steinmetz and Sylvie Thiebaux, are among the organizers

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The Verifying Learning AI Systems (VeriLearn) workshop at the 26th European Conference on Artificial Intelligence (ECAI23)
Co-organizer: Prof. Jesse Davis
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ICAPS Workshop on Hierarchical Planning (HPlan)
Co-organizer: Daniel Höller
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HAXP @ ICAPS 2023. International Workshop on Human-Aware and Explainable Planning (HAXP)
Co-organizer: Rebecca Eifler
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Spring workshop on Mining and Learning 2023 (SMiLe 2023) in Sint-Michielgestel, Netherlands.
Co-organizers: Prof. Jesse Davis, Prof. Tias Guns
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In conjunction with ECMLPKDD 2023 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery).
Co-organizer: Prof. Jesse Davis
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ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming

KU Leuven University.
Co-organizer: Prof. Tias Guns
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Workshop @ ICAPS
Organizers: Jesse Davis, Daniel Höller, Jörg Hoffmann, Michele Lombardi, Sylvie Thiebaux
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