The discovery and optimization of materials still remains a significant challenge when dealing with a very large feature space, limited data, and, if the experiments and/or calculations are expensive to perform. This paper presents intelligent sampling methods designed to guide experiments or computations towards user-defined specific regions,...
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September 11, 2024 (v1)PublicationUploaded on: October 3, 2024
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December 2023 (v1)Publication
The Fermat distance has been recently established as a useful tool for machine learning tasks when a natural distance is not directly available to the practitioner or to improve the results given by Euclidean distances by exploding the geometrical and statistical properties of the dataset. This distance depends on a parameter $α$ that greatly...
Uploaded on: December 5, 2023 -
December 21, 2022 (v1)Report
Rapport des travaux 2022 effectués dans le Laboratoire de recherche correspondant sur L'Instrumentation et les Capteurs Ultra-Rapides (LICUR)
Uploaded on: February 22, 2023