Tag: Jensen-Shannon divergence

A hybrid framework combining variational autoencoders with physics-based simulations enables rapid ensemble augmentation and reduces volcanic cloud forecast errors by ...

Researchers report that a feature-densities method delivers uncertainty scores comparable to Monte Carlo dropout for a Cramér GAN simulating LHCb's ...

Researchers show that lexical and embedding-based drift measures between synthetic and real clinical text moderately predict how much de-identification models ...

Researchers have developed SURGE, a graph unlearning framework that treats data deletion requests as structural perturbations and repairs graph neural ...