Machine Learning, Neural Networks, Neurips 2018.
becomes easier to compute thus avoiding the single unit bottleneck of normalizing flows. ODE solvers operate by computing gradients with Adjoint sensitivity method. In this method, it makes computations by solving a second, augmented ODE backward in time. This method scales linearly with the