A matched-integrator, multi-seed evaluation finds Hamiltonian Neural Networks reduce long-horizon energy drift by 42x and trajectory MSE by 15.8x on the pendulum and retain a smaller but clear advantage on 3D Kepler.
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A matched-integrator evaluation of Hamiltonian neural networks on pendulum and Kepler dynamics
A matched-integrator, multi-seed evaluation finds Hamiltonian Neural Networks reduce long-horizon energy drift by 42x and trajectory MSE by 15.8x on the pendulum and retain a smaller but clear advantage on 3D Kepler.