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 ...

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

CompatibL wins the Best modelling innovation award for the second year running, this time for creating a new type of interest rate model based on autoencoders. Until now, interest rate models have ...