Understanding how well a deep generative model captures a distribution o...
The ability to generate high-fidelity synthetic data is crucial when
ava...
Conditional Density Estimation (CDE) models deal with estimating conditi...
Gaussian processes (GPs) provide a powerful non-parametric framework for...
Gaussian processes (GPs) are a good choice for function approximation as...