Labroots

Interpretable Latent Variable Models Demonstrate Flexible Neural Control of Spinal Motor Units

In this talk, I will discuss the development of interpretable machine learning models to test scientific hypotheses, with a specific focus on spinal motor control. Voluntary movement requires ...
Bloomberg L.P.

Imputation of missing ESG data using deep latent variable models

In finance, data is often incomplete because the data is unavailable, inapplicable or unreported. Unfortunately, many classical data analysis techniques — for instance, linear regression — cannot ...
EurekAlert!

Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables

Dynamical systems modeling is one of the most successfully implemented methodologies throughout mathematical oncology (1). Applications of these model first approaches have led to important insights ...
Risk

A latent variable credit risk model comprising nonlinear dependencies in a sector framework with a stochastically dependent loss given default

In this paper, we propose a latent variable credit risk model for large loan port- folios. It employs the concept of nested Archimedean copulas to account for both a sector-type dependence structure ...