Neural network approaches for meta-learning distributions over functions have desirable
properties such as increased flexibility and a reduced complexity of inference. Building on …

Abstract Deep Gaussian processes (DGPs) are increasingly popular as predictive models in
machine learning for their nonstationary flexibility and ability to cope with abrupt regime …

In the field of indoor localization systems, Received Signal Strength (RSS) based Visible
Light Positioning (VLP) has gained increased attention due to the dual functionality of …

Position and orientation system (POS) is a high-precision inertial navigation systems/Global
navigation satellite system (INS/GNSS) integrated system that can continuously provide time …

The problem of integrating multifidelity data has been studied extensively, due to integrated
analyses being able to provide better results than separately analyzing various data types …

Simulations are often used for the design of complex systems as they allow one to explore
the design space without the need to build several prototypes. Over the years, the simulation …

Computer models, or simulators, are widely used as a way to explore complex physical
systems, but can be computationally expensive to evaluate or are not readily available to the …