Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

Model architecture Stable Diffusion uses a variational autoencoder (VAE) to generate detailed images from a caption with only a few words. Unlike prior autoencoder-based diffusion models, Stable ...

VAE s replace the simple parametric forms of conventional model equations. They are used for the optimal mapping of complex, high-dimensional market data such as yield-curve and volatility surface to ...

To understand what, how and when these unlikely incidents might occur, the researchers have used an artificial neural network they call a variational autoencoder (VAE).

In a breakthrough that could reshape the fight against antibiotic-resistant bacteria, MIT researchers have harnessed generative artificial intelligence (AI) to design novel compounds capable of ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...