Classification logit two-sample testing by neural networks for differentiating near manifold densities
{{output}}
The recent success of generative adversarial networks and variational learning suggests that training a classification network may work well in addressing the classical two-sample problem, which asks to differentiate two densities given finite samples from eac... ...
