2023
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
NeurIPS 2023poster
Probabilistic inference in high-dimensional state-space models is computationally challenging. For many spatiotemporal systems, however, prior knowledge about the dependency structure of state variables is available. We leverage this structure to develop a computationally efficient approach to state…