Abstract: This paper introduces a novel Complex Variational AutoEncoder architecture leveraging complex-valued representations with a single latent channel for radar target detection. Unlike ...

Abstract: This study investigates the application of the Variational Autoencoder (VAE) model for classifying lung images obtained from chest X-ray data, with a primary focus on utilizing the encoder ...

Builds on Toy Models of Superposition and Towards Monosemanticity: Decomposing Language Models With Dictionary Learning. Addressing concerns that correlated features remain entangled in current SAE ...

This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...

MSD has signed an agreement with Variational AI to use its generative AI (genAI) platform Enki in the discovery of new small-molecule medicines. Vancouver, Canada-based Variational – which emerged in ...