Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification - researchr publication authors

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Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann. Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. In Olivier Colliot, Ivana Isgum, editors, Medical Imaging 2023: Image Processing, San Diego, CA, USA, February 19-23, 2023. Volume 12464 of SPIE Proceedings, SPIE, 2023. [doi]

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