Machine Learning, Statistics, Monte Carlo, Deep Learning.
This leads to finding probable samples much more efficient. This method is only applicable to distributions over continuous variables for which we can readily evaluate the gradient of the log probability with respect to the state variables. It has its origins in physics, precisely in quantum