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 ...

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

The proposed framework consists of a learning module named Learning Graph Dynamics with External Contact for deformable linear objects (LG-DEC) and an action generation module. The LG-DEC uses a graph ...

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 ...