Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence

Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl. Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. In Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon, editors, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Virtual Event, May 16-20, 2021, Proceedings. Volume 12679 of Lecture Notes in Computer Science, pages 528-539, Springer, 2021. [doi]

Abstract

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