2023
A Bayesian Perspective on Noise2Noise: Theory and Extensions
ICASSP 2023accepted
The time and resource costs of obtaining pristine training data in machine learning are high. In signal recovery tasks, Noise2Noise proposed by Lehtinen et al. aims to reduce the data cost by learning the regression over two noisy measurements corresponding to the same latent variable. Close examina…