OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems

Dynamical systems are fundamental to modeling the natural world, yet modeling them involves a persistent trade-off: manually prescribed mechanistic models are interpretable by design but often overly simplistic and misspecified; in contrast, flexible data-driven neural methods lack physical insight....