Uncertainty Quantification for Physical and Artificial Intelligence systems
Project funding and duration:
The project is funded by the
ANITI AI cluster from 2024 to 2028 (€350 000), thanks to the "Starting Chair" instrument (SC).
Project members:
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François Bachoc, Institut de Mathématiques de Toulouse (principal investigator)
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Mélisande Albert, Institut de Mathématiques de Toulouse
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Nathalie Bartoli, ONERA Toulouse
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Sylvain Dubreuil, ONERA Toulouse
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Jérôme Morio, ONERA Toulouse
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Paul Novello, IRT Saint Exupery
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Robert Koprinkov, PhD student, Institut de Mathématiques de Toulouse and ONERA Toulouse
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Lucas Monteiro, PhD student, Institut de Mathématiques de Toulouse and ONERA Toulouse
Summary of the project:
This project aims for new methods in uncertainty quantification applicable to both physical and AI systems. The three main axes are the following.
- Sensitivity analysis
- Bayesian active learning
- Real-world applications
How to acknowledge funding from the project:
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Our work has benefitted from the AI Interdisciplinary Institute ANITI. ANITI is funded by the France 2030 program under the Grant agreement n°ANR-23-IACL-0002.