Abstract: Dimensionality reduction using Variational Autoencoder (VAE) is widely employed in learning diverse state representations, such as in autonomous driving tasks. Conventional VAE-based ...

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 ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

Abstract: As industrial IoT networks evolve, they become increasingly vulnerable to cyberattacks, such as Denial of Service and backdoor attacks, which lead to anomalies in data streams (e.g., unusual ...

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 ...