Solving the convergence issues of Generative Adversarial Networks (GANs) is one most outstanding problems in generative models. In this work, we propose a novel activation function to be used as output generator agent. This based on Smirnov probabilistic transformation and it specifically designed improve quality generated data. sharp contrast previous works, our provides more general approach ...

Recently, Duminil-Copin and Smirnov proved a long-standing conjecture by Nienhuis that the connective constant of self-avoiding walks on the honeycomb lattice is

Several weak base (in the sense of A. V. Arhangel'skiT) metrization theorems are established, including a weak base generalization of the Nagata-Smirnov Metrization Theorem.