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Entropy and differential entropy are important quantities in information theory. A tractable extension to singular random variables (which are neither discrete nor continuous) has not been available so far. Here, we propose such an extension for the practically relevant class of singular probability measures that are supported on a lower-dimensional subset of Euclidean space. We show that our entropy...
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