% $\ddot{\theta} = -\omega_0^2 \sin\theta$. % We assume access to sparse, noisy measurements of the pendulum's angular position % $\theta$ over a short time interval $[0,3]$, and aim to predict its ...

% (Neural ODE)* to model the dynamics of a nonlinear pendulum from noisy data. % The Neural ODE learns the time evolution of the pendulum's angle $\theta$ and % angular velocity $\dot{\theta}$ ...

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