Unveil the unseen: Exploit information hidden in noise
Bahdan Zviazhynski,
Gareth Conduit
Abstract:Noise and uncertainty are usually the enemy of machine learning, noise in training data leads to uncertainty and inaccuracy in the predictions. However, we develop a machine learning architecture that extracts crucial information out of the noise itself to improve the predictions. The phenomenology computes and then utilizes uncertainty in one target variable to predict a second target variable. We apply this formalism to PbZr 0.7 Sn 0.3 O 3 crystal, using the uncertainty in dielectric constant to extrapolate … Show more
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