Embedding Hybrid Systems into Continuous Latent Vector Fields
Researchers prove that hybrid systems can be embedded into continuous vector fields in higher-dimensional Euclidean spaces, enabling discontinuous dynamics to be represented continuously. They demonstrate that neural ODEs with consistency loss can learn hybrid system behavior from time series data, outperforming existing methods.