Programme

‹ mercredi 29 mai 2024
09:00
10:00
11:00
12:00
13:00
14:00
›9:00 (15min)
Yushan Liu
Uncertainties in the climate-economic models: A machine learning approach
›9:15 (45min)
Julien Le Sommer
Towards AI-native hybrid (ocean) models for climate research : the need and the challenges
›10:15 (15min)
Said Ouala
End-to-end Learning in Hybrid Modeling Systems: How to Deal with Backpropagation Through Numerical Solvers
›10:30 (30min)
Pause café
›11:00 (45min)
Redouane Lguensat
Surrogate modeling for climate model tuning
›11:45 (45min)
Discussion scientifique
Interfaces - Machine learning - Animation par le bureau du GDR
›12:30 (1h30)
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