Generalizing Dynamics Modeling More Easily from Representation Perspective

ArXi:2603.22655v1 Announce Type: cross Learning system dynamics from observations is a critical problem in many applications over various real-world complex systems, e.g., climate, ecology, and fluid systems. Recently, neural dynamics modeling method have become a prevalent solution that embeds the object's observations into a latent space before learning dynamics using neural methods such as neural Ordinary Differential Equations