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

Press the title of the content to reach it.

Keyword

Keyword

Author

Author

Editor

Editor

Order by

Order by
1 - 6 of 32 posts
Transportation Research Part E: Logistics and Transportation Review, Volume 186, June 2024
Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS-24)
Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS-24)
34th International Conference on Automated Planning and Scheduling (ICAPS-24)
Proceedings of the 17th International Symposium on Combinatorial Search (SOCS-24)
Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS’24)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24)
Proceedings of the 34th International Conference on Automated Planning and Scheduling (CAPS-24)
Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS’24)
Proceedings of the 16th International Conference on Agents and Artificial Intelligence – Volume 3: ICAART
NeurIPS 2023 Second Table Representation Learning Workshop
NeurIPS 2023, Annual Conference on Neural Information Processing Systems
Proceedings of the Verifying Learning AI Systems Workshop; 2023
Leibniz International Proceedings in Informatics; 2023
Proceedings of Verifying Learning AI Systems Workshop; 2023
Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP), 2023
Differentiable Almost Everything workshop at the International Conference on Machine Learning (ICML), 2023
Machine Learning and Knowledge Discovery in Databases (ECML PKDD) Springer Nature Switzerland, 2023
Journal Of Artificial Intelligence Research, Vol. 77, 2023
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2023
40th International Conference on Machine Learning (ICML) 2023
Proceedings of the 40th International Conference on Machine Learning (ICML) 2023
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) 2023
Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS) 2023
Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS), 2023
Proceedings of the ICAPS Workshop on Reliable Data-Driven Planning and Scheduling (RDDPS), 2023
Proceedings of the ICAPS Workshop on Human-Aware and Explainable Planning (HAXP) 2023
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.
Link

By Tias Guns at the ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming.
Link

By Tias Guns at the ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming
Link

By Michele Lombardi at the ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming
Link

Constraint Acquisition: Learning Constraint Models from Data by Dimos Tsouros at the ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming.
Link

Invited talk on “Optimisation in Machine Learning” by Tias Guns at VAIA, June 2023.
Link

Invited talk on “Measuring Passing Creativity in Soccer” by Jesse Davis at the World Congress on Science and Football, Groningen. May 2023.
Link

Invited talk “Learning from user and environment in combinatorial optimisation”by Tias Guns at IPAM workshop. Feb 2023
Link

Invited seminar by Tias Guns on “Predict and Optimize: combinatorial optimisation with machine-learning based input” at VAIA (Flemish AI Academy). March 2023.
Link

 

 

Conferences & Workshop

The workshop will be featured in the 21st International Conference on Principles of Knowledge Representation and Reasoning
Hanoi, Vietnam

Jörg Hoffmann, Saarland University is in the Organization Committe

Link

Organizing Committee – Rebecca Eifler | LAAS-CNRS

Steering Committee – Jörg Hoffmann| Saarland University

link

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

Link

The Verifying Learning AI Systems (VeriLearn) workshop at the 26th European Conference on Artificial Intelligence (ECAI23)
Co-organizer: Prof. Jesse Davis
Link

ICAPS Workshop on Hierarchical Planning (HPlan)
Co-organizer: Daniel Höller
Link

HAXP @ ICAPS 2023. International Workshop on Human-Aware and Explainable Planning (HAXP)
Co-organizer: Rebecca Eifler
Link

Spring workshop on Mining and Learning 2023 (SMiLe 2023) in Sint-Michielgestel, Netherlands.
Co-organizers: Prof. Jesse Davis, Prof. Tias Guns
Link

In conjunction with ECMLPKDD 2023 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery).
Co-organizer: Prof. Jesse Davis
Link

ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming

KU Leuven University.
Co-organizer: Prof. Tias Guns
Link

Workshop @ ICAPS
Organizers: Jesse Davis, Daniel Höller, Jörg Hoffmann, Michele Lombardi, Sylvie Thiebaux
Link