T. Damoulas

Deep Gaussian Processes on Directed Acyclic Graphs

A structured variational approximation is offered that retains graph dependencies, preserves compositional uncertainty, and captures the explaining-away behaviour of colliders, attaining state-of-the-art performance while recovering low-fidelity contributions and yielding interpretability of the simulator hierarchy.