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Density estimation with normalizing flow in a minute
Normalizing flow is a generative deep neural network which can output a probability density function describing your data, by training a series of tunable transforms in the form of a neural network. This can be useful for many purposes such as simulation-based inference. For example in one of my recent papers ( https://arxiv.org/abs/2011.03564 ...
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