GitHub

yanming-s/Denoising-VAE

This repository implements a Denoising Variational Autoencoder (DVAE) based on the U-Net architecture to remove various types of image noise. The model is trained on a subset of ImageNet data with ...
GitHub

Variational AutoEncoder Tiny Model

This project demonstrates the use of a Variational AutoEncoder (VAE) to learn a latent space representation of simple synthetic data: black-and-white images of circles with varying radius, x, and y ...
IEEE

Tree Variational Autoencoder for Code

Abstract: Autoencoder models of source code are an emerging alternative to autoregressive large language models with important benefits for genetic improvement of software. We hypothesize that encoder ...
C&EN

Soft Measurement Modeling Method Based on Quality-Related Mixed Variational Autoencoder Regression

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...
IEEE

Application of variational autoencoder network to real-time prediction of steel crown in the hot strip rolling mill process

Abstract: In the hot strip rolling mill (HSRM) process, accurate prediction and control of the strip crown are critical for quality assurance. In order to cope with this challenge, this study designed ...