29 citations · 33 across the 10 of their papers we have counts for
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cs.AI2023
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front
Alexandre Quemy, Marc Schoenauer, Johann Dreo
Multi-objective AI planning suffers from a lack of benchmarks exhibiting known Pareto Fronts. In this work, we propose a tunable benchmark generator, together with a dedicated solv…
cs.HC2023★ 1 cited
First steps towards quantum machine learning applied to the classification of event-related potentials
Grégoire Cattan, Alexandre Quemy, Anton Andreev
Low information transfer rate is a major bottleneck for brain-computer interfaces based on non-invasive electroencephalography (EEG) for clinical applications. This led to the deve…