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