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 ...

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

Qamrul Hasan Ansari *, Somayeh Eshghinezhad, Majid Fakhar, EKELAND'S VARIATIONAL PRINCIPLE FOR SET-VALUED MAP SWITH APPLICATIONS TO VECTOR OPTIMIZATION IN UNIFORM SPACES, Taiwanese Journal of ...

The article develops a hybrid variational Bayes (VB) algorithm that combines the mean-field and stochastic linear regression fixed-form VB methods. The new estimation algorithm can be used to ...

However, each of these choices has its own limitations. In this thesis, these limitations are discussed and addressed via defining a variational inference framework for finite inverted Dirichlet ...