Embedding learning transforms discrete data entities into continuous numerical
representations, encoding features/properties of the entities. Despite the outstanding …

We introduce the manifold density function, which is an intrinsic method to validate manifold
learning techniques. Our approach adapts and extends Ripley's $ K $-function, and …

A major challenge in embedding or visualizing clinical patient data is the heterogeneity of
variable types including continuous lab values, categorical diagnostic codes, as well as …

Estimating mutual information (MI) between two continuous random variables X and Y
allows to capture non-linear dependencies between them, non-parametrically. As such, MI …

Acute gastrointestinal bleeding is a common and costly condition, accounting for over 2.2
million hospital days and 19.2 billion dollars of medical charges annually. Risk stratification …

The fight between discriminative versus generative goes deep, in both the study of artificial
and natural intelligence. In our view, both camps have complementary values. So, we …

Abstract A Constitution Contested: Governors, Assemblies, and Imperial Politics in Jamaica
and New York, 1675-1730 Winston Sinclair Hill 2021 This dissertation focuses on the …