Évènement

Mathilde Mougeot
ensIIE & ENS Paris-Saclay
https://sites.google.com/site/mougeotmathilde/

Date(s) : 26/01/2026   iCal
14h00 - 15h00

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Machine learning and numerical simulations.

Interplay between data and physical models.

In recent years, considerable progress has been made in implementing decision support procedures based on machine learning methods through the use of very large databases and learning algorithms.

In many application areas, the available databases are modest in size, raising the question of whether it is reasonable, in this context, to seek to develop powerful tools based on machine learning techniques.  This presentation describes hybrid models that use knowledge from physics to implement effective machine learning models with an economy of data.

Emplacement
Saint-Charles - FRUMAM (2ème étage)

Catégories

• Séminaire