IEEE

MMEVAE: A Time-Varying Rolling Bearing Data Enhancement Method Based on a Multimodal Mechanism Enhanced Variational Autoencoder and Self-Attention Module

Abstract: Variational autoencoder (VAE) is widely used as a data enhancement technique. However, it faces challenges with inaccurate potential spatial distribution and poor reconstruction quality when ...
IEEE

Cross-Mode Jointly Shared-Specific Variational Graph Attention Autoencoder for Soft Sensor Application in Multimode Industrial Process

Abstract: Accurate online detection or prediction of key quality variables provides critical reference information for optimizing and controlling operating variables in industrial processes. However, ...
GitHub

Raghav0079/Variational-Lossy-Autoencoder

This repository provides an implementation of the Variational Lossy Autoencoder (VLAE) for the MNIST dataset, featuring a conditional prior. The project explores lossy compression and generative ...
GitHub

Stacking Variational Bayesian Monte Carlo (S-VBMC)

Stacking Variational Bayesian Monte Carlo (S-VBMC)[1] is a fast post-processing step for Variational Bayesian Monte Carlo (VBMC). VBMC is an approximate Bayesian inference technique that produces a ...