Neural posterior estimation methods based on discrete normalizing flows ...
Deep learning techniques for gravitational-wave parameter estimation hav...
We combine amortized neural posterior estimation with importance samplin...
Simulation-based inference with conditional neural density estimators is...
We demonstrate unprecedented accuracy for rapid gravitational-wave param...
Deep neural network (DNN) based salient object detection in images based...