On the exact relationship between the denoising function and the data distribution

September 06, 2017 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Heikki Arponen, Matti Herranen, Harri Valpola arXiv ID 1709.02797 Category cs.NE: Neural & Evolutionary Cross-listed cs.LG, stat.ML Citations 3 Venue arXiv.org Last Checked 4 months ago
Abstract
We prove an exact relationship between the optimal denoising function and the data distribution in the case of additive Gaussian noise, showing that denoising implicitly models the structure of data allowing it to be exploited in the unsupervised learning of representations. This result generalizes a known relationship [2], which is valid only in the limit of small corruption noise.
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