Generalizing Dynamics Modeling More Easily from Representation Perspective

1. 1Embed observations into latent space using neural methods
2. 2Learn dynamics using neural Ordinary Differential Equations (ODE)
3. 3Improve generalization of dynamics modeling by representing complex systems in a more abstract and flexible way
4. 4Apply this approach to various real-world complex systems, such as climate, ecology, and fluid systems

Researchers and engineers working on complex systems, such as climate and ecology modeling, can benefit from this approach to improve their dynamics modeling capabilities

💡 Neural dynamics modeling can improve generalization of dynamics modeling by representing complex systems in a more abstract and flexible way

💡 Neural dynamics modeling learns system dynamics from observations using latent space embeddings