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

Author:

Andrle Anna,Farchmin Nando,Hagemann Paul,Heidenreich Sebastian,Soltwisch Victor,Steidl Gabriele

Publisher

Springer International Publishing

Reference17 articles.

1. Andrieu, C., de Freitas, N., Doucet, A., Jordan, M.I.: An introduction to MCMC for machine learning. Mach. Learn. 50, 5–43 (2003)

2. Andrle, A., et al.: Grazing incidence x-ray fluorescence based characterization of nanostructures for element sensitive profile reconstruction. In: Modeling Aspects in Optical Metrology VII, vol. 11057, p. 110570M. International Society for Optics and Photonics (2019)

3. Ardizzone, L., Kruse, J., Rother, C., Köthe, U.: Analyzing inverse problems with invertible neural networks. In: 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, (2019)

4. Dinh, L., Sohl-Dickstein, J., Bengio, S.: Density estimation using real NVP. In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24–26, 2017, Conference Track Proceedings (2017)

5. Foreman-Mackey, D., Hogg, D.W., Lang, D., Goodman, J.: EMCEE: the MCMC hammer. Publ. Astron. Soc. Pacific 125(925), 306–312 (2013)

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