Machine Learning, Generative Model, Bayesian Machine Learning.
this model is actually fairly simple: it’s an autoregressive model, that uses the values of datapoints in the past to predict the current value in the frame, and does so by applying historical convolutions, specifically using something called dilated convolutions. Like the PixelCNN, this approach