The 17th STUOD Sandbox meeting to be held remotely on Friday, 24 June. The Sandboxes are special events, set in specially equipped audio-visual rooms, among Ifremer, Imperial, and Inria with all available tools to manipulate and test ideas.

The 17th meeting of the Sandbox Series will be devoted to machine learning. The provisional programme is provided below.

Session I

Chair: Bertrand Chapron

12.00-12.20 Julien Brajard (NERSC) on Super-resolution data assimilation 

12.20-12.40 Alexander Lobbe (ICL) on Deep Learning Algorithm for the Nonlinear Stochastic Filtering Problem  

12.40-13.00 Ronan Fablet (IMT Atlantique, Brest) on Optimal Interpolation & 4DVarNets 

13.00-13.20 Said Ouala  (Imt-Atlantique) on Learning dynamical models from partial observations 

13.20-13.30 Break

Session II

Chair: Etienne Memin

13.30-14.00 Marc Bocquet (CEREA, joint laboratory École des Ponts ParisTech and EDF R&D) on Combing data assimilation and machine learning to build data-driven models of chaotic dynamics 

14.00-14.30 Discussion