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DTSTART;TZID=Europe/Paris:20260217T160000
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DTSTAMP:20260413T011234
CREATED:20260210T140852Z
LAST-MODIFIED:20260220T084303Z
UID:14787-1771344000-1771347600@lmv.math.cnrs.fr
SUMMARY:Séminaire des jeunes : Baptiste Leroux (Université Paris-Cité\, MAP5) : Machine Learning goes to extremes
DESCRIPTION:Abstract : Last year\, a major flood in the Yvette river basin caused significant damage in the area around Paris-Saclay University. Such rare\, high-impact events lie in the tails of probability distributions and may not be adequately described by standard statistical methods. Extreme value analysis (EVA) provides a dedicated framework to model these rare events. \nIn this seminar\, we introduce the theoretical background behind Extreme Value Theory\, and discuss how it can be leveraged to derive machine learning algorithms tailored to the analysis of extreme events.
URL:https://lmv.math.cnrs.fr/evenenement/seminaire-des-jeunes-baptiste-leroux-universite-paris-cite-map5-machine-learning-goes-to-extremes/
LOCATION:Bâtiment Fermat\, salle 4205
CATEGORIES:Séminaire des jeunes
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