Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems.
Fiona LippertBart KranstauberE. Emiel van LoonPatrick ForréPublished in: CoRR (2023)
Keyphrases
- dynamical systems
- gaussian markov random fields
- structured data
- differential equations
- dynamic systems
- nonlinear dynamical systems
- linear systems
- control theory
- qualitative simulation
- state space
- phase space
- agent environment
- computationally efficient
- non stationary
- nonlinear dynamics
- dynamical models
- maximum likelihood
- monte carlo
- predictive state representations
- dynamical behavior