280 citations · 436 across the 21 of their papers we have counts for
7 papers · 1 filter
Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation
Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar +1
The future of automated driving (AD) is rooted in the development of robust, fair and explainable artificial intelligence methods. Upon request, automated vehicles must be able to…
Solve Optimization Problems with Unknown Constraint Networks
Mohamed-Bachir Belaid, Arnaud Gotlieb, Nadjib Lazaar
In most optimization problems, users have a clear understanding of the function to optimize (e.g., minimize the makespan for scheduling problems). However, the constraints may be d…
Predictive Machine Learning of Objective Boundaries for Solving COPs
Helge Spieker, Arnaud Gotlieb
Solving Constraint Optimization Problems (COPs) can be dramatically simplified by boundary estimation, that is, providing tight boundaries of cost functions. By feeding a supervise…
Learning Objective Boundaries for Constraint Optimization Problems
Helge Spieker, Arnaud Gotlieb
Constraint Optimization Problems (COP) are often considered without sufficient knowledge on the boundaries of the objective variable to optimize. When available, tight boundaries a…
ITE: A Lightweight Implementation of Stratified Reasoning for Constructive Logical Operators
Arnaud Gotlieb, Dusica Marijan, Helge Spieker
Constraint Programming (CP) is a powerful declarative programming paradigm where inference and search are interleaved to find feasible and optimal solutions to various type of cons…
Multi-Cycle Assignment Problems with Rotational Diversity
Helge Spieker, Arnaud Gotlieb, Morten Mossige
Multi-cycle assignment problems address scenarios where a series of general assignment problems has to be solved sequentially. Subsequent cycles can differ from previous ones due t…