GitHub

scVAG: Unified Single-Cell Clustering via Variational-Autoencoder Integration with Graph Attention Autoencoder

scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...
GitHub

Reducio-VAE

Reducio-VAE was developed to enable high compression ratio on videos, supporting efficient video generation. Existing 3D VAEs are generally extended from 2D VAE, which is designed for image generation ...
IEEE

Double Discrete Variational Autoencoder for Epileptic EEG Signals Classification

Abstract: Electroencephalography (EEG) plays a key role in the clinical evaluation of epilepsy and provides strong support for treatment decisions. However, analyzing and decoding EEG recordings is a ...
IEEE

Scale-Adaptive Asymmetric Sparse Variational AutoEncoder for Point Cloud Compression

Abstract: Learning-based point cloud compression has achieved great success in Rate-Distortion (RD) efficiency. Existing methods usually utilize Variational AutoEncoder (VAE) network, which might lead ...
Yahoo Finance

Variational AI Redefines Drug Discovery with Generative AI Platform, Secures Strategic Collaboration with Merck

VANCOUVER, BC / ACCESS Newswire / November 25, 2025 / Variational AI, a leading innovator in generative artificial intelligence for drug discovery, is making headlines in biotech with a bold mission: ...