Doctoral course on Data Science for Geoscience
Published:
We are glad to announce the third edition of the “Data Science for Geosciences” course. It will be held in Toulouse from Monday 27 to Friday 31 January 2020. It aims to provide trainees with the basic concepts underlying data science and statistical learning along with their implementation through dedicated libraries in the field of geosciences. It will be located in the National Institute of Electrical engineering, Electronics, Computer science, Fluid mechanics & Telecommunications and Networks (ENSEEIHT) in the center of Toulouse. More information at DSG’2020.
We've just posted online a new preprint co-authored with Lucas Drumetz and Francois Rousseau on the joint learning of variational models and associated solvers to address inverse problems (e.g., inpainting, denoising, space-time interpolation, data assimilation,...) 
We've just posted online a new preprint co-authored with Olivier Pannekoucke on PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations.