A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

In this paper, we introduce two inertial self-adaptive projection and contraction methods for solving the pseudomonotone variational inequality problem with a Lipschitz-continuous mapping in real ...

Yonghong Yao, Naseer Shahzad, Jen-Chih Yao, Convergence of Tseng-type self-adaptive algorithms for variational inequalities and fixed point problems, Carpathian Journal of Mathematics, Vol. 37, No. 3 ...