GitHub

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder"

NVAE is a deep hierarchical variational autoencoder that enables training SOTA likelihood-based generative models on several image datasets. Above, the images will be ...
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: ...
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

Convolutional Variational Autoencoder for Anomaly Detection in On-Load Tap Changers

Abstract: Transformer outages significantly impact the reliability and cost efficiency of power systems. Studies indicate that approximately 30% of transformer failures stem from issues with on-load ...
The New York Times

Our Favorite Paper Planners

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Jackie Reeve, Kaitlyn Wells ...
IEEE

Toward Adaptive and Interpretable Process Monitoring: Incremental Variational Graph Attention Autoencoder With Probabilistic Inference

Abstract: Complex industrial processes exhibit typical nonstationarity due to frequently fluctuating material flows and complex control loops. This poses three challenges for trustworthy process ...