In the paper, author considers a new method for constructing the quasi-equilibrium thermodynamics of a system of ...

In this paper, we propose a versatile graph inference framework for learning from graph signals corrupted by exponential family noise. Our framework generalizes previous methods from continuous smooth ...

There is now overwhelming evidence that regular physical activity has important and wide-ranging health benefits. These range from reduced risk of chronic diseases such as heart disease, type 2 ...

Predicting drug-drug interactions (DDIs) becomes an increasingly important problem in the computational domain, due to the acceleration of drug discovery and the high costs of solving this task ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...