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Feb, 2024
混合噪声和条件深度推理网络的后验估计
Mixed Noise and Posterior Estimation with Conditional DeepGEM
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Paul Hagemann, Johannes Hertrich, Maren Casfor, Sebastian Heidenreich, Gabriele Steidl
TL;DR
通过期望最大化算法，我们提出使用条件归一化流来近似后验概率，在贝叶斯逆问题中联合估计后验和噪声参数，应用于间接测量和纳米计量领域，该模型能够整合多种测量信息。
Abstract
Motivated by indirect
measurements
and applications from nanometrology with a mixed noise model, we develop a novel algorithm for jointly estimating the posterior and the
noise parameters
in
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