Philipp Froehlich

Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention

Detecting dependencies among variables is a fundamental task across scientific disciplines. We propose a novel neural network model for graph structure inference, which aims to learn a mapping from observational data to the corresponding underlying dependence structures. The model is trained with va…