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Applications of Tensor Networks in Probability and Statistics

One of the most common uses of tensor networks is parameterizing statistical models. For example, a tensor network can compress the parameters of a generative model in machine learning. Or in quantum physics a common use of tensor networks is representing joint probability distributions of many variables (using the 2-norm or Born rule of probability).

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