Twist Flow for Inverse Problems
In Bayesian inverse problems, posterior sampling requires generating samples that are consistent with given observations while capturing the range of plausible solutions. Direct conditional generative models introduce latent noise to model this ambiguity, but paired inverse-problem training can still encourage an almos...
Shi-Qin Zeng, Zi-Jun Deng, Felix J. Herrmann
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