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 ...

Article Highlight | 3-Nov-2023 Deep variational autoencoder for proteomics mass spectrometry data analysis Research image: Figure 1. Schematic diagram of Dear-DIA. view more Credit: Research ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

The paper is devoted to the description and application of a new iterative mesh optimization algorithm for the finite element solution of variational problems set in infinite-dimensional spaces. The ...

Gang Bao, Variational Approximation of Maxwell's Equations in Biperiodic Structures, SIAM Journal on Applied Mathematics, Vol. 57, No. 2 (Apr., 1997), pp. 364-381 ...