Beats tuned baseline
2026
Conformal-symplectic sandwich layer
Replace an unconstrained one-step transition network with a symmetric damping–symplectic-core–damping composition. The damping strength is one learned scalar rate and is applied through positive exponential diagonal factors, so every step has a known contraction law while the neural core models nonlinear conservative transport.
Paper: CSympNet-ID: conformal-symplectic map learning for linearly damped Hamiltonian systems
arXiv:2607.03339