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Machine learning methods for computational imaging require uncertainty estimation to be reliable in real settings.
A practical algorithm for the determination of phase from image and diffraction plane pictures
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One network to solve them all-solving linear inverse problems using deep projection models
Jen-Hao Rick Chang, Chun-Liang Li, Barnabas Poczos, B. V. K. Vijaya Kumar, and Aswin C. Sankaranarayanan · 2017
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A stochastic Newton MCMC method for large-scale statistical inverse problems with application to seismic inversion
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Advances in variational inference
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