Can we jointly learn variational models and solvers for inverse problems?
Published:
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,...) pdf on Arxiv / Associated code on OceaniX github