Review for NeurIPS paper: Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints

The paper proposes to learn physical systems by embedding the system into Cartesian coordinates with explicit constraints. The reviewers agree the paper is novel but also suggest adding real-world data experiments.