Learning Independent Features with Adversarial Nets for Non-linear ICA

ICLR 2018 Philemon BrakelYoshua Bengio

Reliable measures of statistical dependence could be useful tools for learning independent features and performing tasks like source separation using Independent Component Analysis (ICA). Unfortunately, many of such measures, like the mutual information, are hard to estimate and optimize directly... (read more)

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