Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems.
Fiona LippertBart KranstauberEmiel van LoonPatrick ForréPublished in: NeurIPS (2023)
Keyphrases
- dynamical systems
- gaussian markov random fields
- structured data
- differential equations
- nonlinear dynamical systems
- dynamic systems
- state space
- control theory
- qualitative simulation
- linear systems
- phase space
- dynamical behavior
- predictive state representations
- partially observable markov decision processes
- maximum likelihood
- non stationary
- likelihood function
- nonlinear dynamics
- dynamical models
- agent environment
- optimal control
- petri net
- discrete dynamical systems