Robustness Verification of Multi-Class Tree Ensembles
Authors: Laurens Devos, Lorenzo Cascioli, Jesse Davis
Conference / Journal: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24)
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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Authors: Laurens Devos, Lorenzo Cascioli, Jesse Davis
Conference / Journal: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24)
Authors: Dillon Z. Chen, Felipe Trevizan, Sylvie Thiébaux
Conference / Journal: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24)
Authors: Gregor Behnke, Marcel Steinmetz
Conference / Journal: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24)
Authors: Dillon Z. Chen, Sylvie Thiébaux
Conference / Journal: Proceedings of the 17th International Symposium on Combinatorial Search (SOCS-24)
Authors: Jan Eisenhut, Xandra Schuler, Daniel Fišer, Daniel Höller, Maria Christakis, Jörg Hoffmann
Conference / Journal: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24)
Authors: Dimosthenis Tsouros, Senne Berden, Tias Guns
Conference / Journal: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24)
Authors: Dillon Z. Chen, Sylvie Thiébaux, Felipe Trevizan
Conference / Journal: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24)
Authors: Ryan Xiao Wang, Sylvie Thiébaux
Conference / Journal: Proceedings of the 34th International Conference on Automated Planning and Scheduling (CAPS-24)
Authors: Marcel Steinmetz, Sylvie Thiébaux, Daniel Höller, Florent Teichteil-Königsbuch
Conference / Journal: Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS'24)
Authors: Michaela Urbanovská, Antonín Komenda
Conference / Journal: Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART'24)
Authors: Lukáš Zahradník, Jan Neumann, Gustav Šír
Conference / Journal: NeurIPS 2023 Second Table Representation Learning Workshop
Authors: Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny
Conference / Journal: Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS'23)
Authors: Laurens Devos, Lorenzo Cascioli, Jesse Davis
Conference / Journal: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24)
Authors: Dimosthenis Tsouros, Senne Berden, Tias Guns
Conference / Journal: Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP'23)
Authors: Lorenzo Cascioli, Laurens Devos, Jesse Davis
Conference / Journal: Proceedings of Verifying Learning AI Systems Workshop (VeriLearn@ECAI'23)
Authors: Christian Bessiere, Clément Carbonnel, Martin C. Cooper, Emmanuel Hebrard
Conference / Journal: Constraints - An International Journal
Authors: Ignace Bleukx, Jo Devriendt, Emilio Gamba, Bart Bogaerts, Tias Guns
Conference / Journal: Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP'23)
Authors: Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi
Conference / Journal: Differentiable Almost Everything workshop at the International Conference on Machine Learning (ICML), 2023
Authors: Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis
Conference / Journal: Proceedings of Machine Learning and Knowledge Discovery in Databases (ECML PKDD'23)
Authors: Maaike Van Roy, Peter Robberechts, Wen Chi Yang, Luc De Raedt, Jesse Davis
Conference / Journal: Journal Of Artificial Intelligence Research, Vol. 77, 2023
Authors: Renee Selvey, Alban Grastien, Sylvie Thiébaux
Conference / Journal: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI'23)
Authors: Samuele Marro, Michele Lombardi
Conference / Journal: Proceedings of the 40th International Conference on Machine Learning (ICML'23)
Authors: Emir Demirović, Emmanuel Hebrard, Louis Jean
Conference / Journal: Proceedings of the 40th International Conference on Machine Learning (ICML'23)
Authors: Sofia Morandini, Federico Fraboni, Enzo Balatti, Aranka Hackmann, Hannah Brendel, Gabriele Puzzo, Lucia Volpi, Davide Giusino, Marco De Angelis, Luca Pietrantoni
Conference / Journal: AHFE (2023) International Conference
Authors: Marcel Vinzent, Siddhant Sharma, Jörg Hoffmann
Conference / Journal: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23)
Invited talk by Daniel Höller at the 7th ICAPS Workshop on Hierarchical Planning (HPlan 2024). Banff, Alberta, Canada
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 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
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
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.
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)
Link
This event is in the context of ADRA-e Birds of a Feather webinar series which aims to provide insights into Research and Innovation Actions (RIAs) projects to foster collaboration and avail a joint platform for debate and results-sharing in AI, Data and Robotics.
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
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
Spring workshop on Mining and Learning 2023 (SMiLe 2023) in Sint-Michielgestel, Netherlands.
Co-organizers: Prof. Jesse Davis, Prof. Tias Guns
Link
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
Link
KU Leuven University.
Co-organizer: Prof. Tias Guns
Link
Workshop @ ICAPS23
Organizers: Jesse Davis, Daniel Höller, Jörg Hoffmann, Michele Lombardi, Sylvie Thiebaux
Link
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