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.
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Invited talk by Sylvie Thiebaux covering Task 3.4 on learning heuristics to guide search of automated planners, at the French AI Conference (GDR RADIA and JFPC)
Tias Guns “How AI is changing combinatorial optimisation”, Flanders Metals Valley AI Workshop, Sept 2025, Brussels, Belgium
Talk by Sylvie Thiebaux covering Task 3.4 on learning heuristics to guide search, at 3 co-located conferences
Timo Martens, Jesse Davis, “Tree Ensemble Compression”, KBC Bank, March 2025
Tias Guns, “An AI Approach to Underspecified Combinatorial Problems”, CRM Simons seminar on Mathematical Foundations of Data Science. Also presented at the GERAD lab (June) and at Mila (July), June 20
Invited talk by Jesse Davis, at The Leiden Institute of Advanced Computer Science (LIACS), University of Leiden, May 2025
Tias Guns “An AI approach to underspecified combinatorial optimisation problems”, OMP (company seminars), Feb 2025, Antwerp, Belgium
Tias Guns “Een AI aanpak tot Combinatorische Optimisatie”, Arenberg Symposium, Nov 2024, Leuven, Belgium
Invited talk at the CP 2024 Doctoral Program, Sept 2024
Invited talk by Daniel Höller at the 7th ICAPS Workshop on Hierarchical Planning (HPlan 2024). Banff, Alberta, Canada
Dagstuhl Seminar 24441 on Machine Learning Augmented Algorithms for Combinatorial Optimization Problems, organized by Tias Guns
Optimization Algorithms for Decision Science – Trustworthiness of AI in Planning and Scheduling: The experience of the TUPLES project. Matteo Pozzi
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Invited talk by Tias Guns at the JFPC 2024 conference, June 2024
Tias Guns, “Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities”, Keynote at the CPAIOR 2024 conference, May 2024
Invited Talk by Jesse Davis and Laurens Devos at the KBC Bank, April 2024
Tias Guns invited Talk at AI4b.io seminar, April 2024
Tias Guns, “Explanation techniques for CP”, talk at ACP winter school 2024, March 2024
The Computational Approaches to Strategies and Tactics in Sports. Dagstuhl seminar (Feb 18-23, 2024). Organized by Jesse Davis.
Jesse Davis, “”ANALYZING FOOTBALL MATCH DATA USING MACHINE LEARNING”, Video Analyst Day at Royal Belgium Football Association, February 2024
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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Math+ TES 2023 summer school talk by Tias Guns.
Invited talk by Tias Guns at PTHG-23: The Sixth Workshop on Progress Towards the Holy Grail. A CP 2023 Workshop. August 2023
Hélène Verhaeghe, “Solving Complex Problems: Graphs, Constraints, and Machine Learning in Action”, invited talk at Constraint Modeling and Reformulation workshop, 2023
Invited talk by Tias Guns at IPAM workshop. Feb 2023.
Jesse DAvis at VAIA event on “Met AI naar het WK voetbal” Oct 22. Data and AI can help footballers and coaches achieve better performances, both at professional level and in amateur competitions.
Dillon Chen and Sylvie Thiebaux
XLoKR’25@KR Workshop on Explainable Logic-Based Knowledge Representation
Joerg Hoffmann in the Steering Committee
Workshop on Bridging the Gap Between AI Planning and (Reinforcement) Learning (PRL)
Dillon Chen and Timos Gros on the organising committee
RIPL’25@ICAPS (formerly RDDPS) Workshop on Reliability In Planning and Learning.
Daniel Hoeller, Joerg Hoffmann, Marcel Steinmetz, Sylvie Thiebaux, Marcel Vinzent, on the organising committee
12th Annual Workshop on Machine Learning and Data Mining for Sports Analytics held at ECML PKDD 2025. Pieter Robberechts and Maaike Van Roy are in the organizing committee.
LLMs meet Constraint Solving (LLM-Solve) at CP/SAT 2025, co-organized by prof. Tias Guns.
Explanations with Constraints and Satisfiability (ExCoS) at CP/SAT 2025, co-organized by prof. Tias Guns.
Workshop on Bridging the Gap Between AI Planning and (Reinforcement) Learning.
Timo Gros and Daniel Hoeller in the organising committee
The Fifth Workshop on Explainable Logic-Based Knowledge Representation at the 21st International Conference on Principles of Knowledge Representation and Reasoning.
Joerg Hoffmann in the organising committee.
A Hands-On Tutorial on Scikit-Decide, the Open-Source C++ and Python Library for Planning, Scheduling and Reinforcement Learning. Florent Teichteil-Koenigsbuch, Guillaume Poveda, Sylvie Thiebaux and others.
Marcel Steinmetz is co-organising the ICAPS’24 workshop on Bridging the Gap Between Planning and Reinforcement Learning (PRL)
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Tutorial on Team Sports Analytics at ECMLPKDD’24 by Pieter Robberechts, Yannick Rudolph, Maaike Van Roy, Albrecht Zimmermann
Explainable Constraint Solving – A Hands-On Tutorial (at ECAI 2024) by Ignace Bleukx, Dimos Tsouros, Tias Guns
11th Annual Workshop on Machine Learning and Data Mining for Sports Analytics held in conjunction with ECMLPKDD 2024 in Vilnius, Lithuania. Organized by Jesse Davis.
Organised by Adra-e, aims to bring together influential figures from various backgrounds to support co-programming of the Artificial Intelligence Data and Robotics (ADR) partnership.
Marcel Steinmetz is co-organising the ICAPS’24 workshop on Bridging the Gap Between Planning and Reinforcement Learning (PRL)
21st International Conference on Principles of Knowledge Representation and Reasoning, Hanoi, Vietnam. XLoKR 2024
Jörg Hoffmann, Saarland University is in the Organization Committe
ICAPS’24 Workshop. Organizing Committee – Rebecca Eifler | LAAS-CNRS
Steering Committee – Jörg Hoffmann| Saarland University
ADRA-e workshop to show the progress in the development of Trustworthy AI technology and introduce verifiable robustness and transparency
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
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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6th Workshop on Hierarchical Planning (HPlan) held at ICAPS 2023. Daniel Holler is in the Organizing Committee.
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HAXP @ ICAPS 2023. International Workshop on Human-Aware and Explainable Planning (HAXP)
Co-organizer: Rebecca Eifler
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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A Hands-On Tutorial at CP 2023, Toronto, Canada by Tias Guns, Ignace Bleukx and Dimos Tsouros
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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KU Leuven University.
Co-organizer: Prof. Tias Guns
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Workshop @ ICAPS23
Organizers: Jesse Davis, Daniel Höller, Jörg Hoffmann, Michele Lombardi, Sylvie Thiebaux
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