Fig. 2: Tightness of the closed-form solution in practice. | Nature Machine Intelligence

Fig. 2: Tightness of the closed-form solution in practice.

From: Closed-form continuous-time neural networks

Fig. 2

We approximate a closed-form solution for LTC networks1 while largely preserving the trajectories of their equivalent ODE systems. We develop our solution into CfC models that are at least 100 fold faster than neural ODEs at both training and inference on complex time-series prediction tasks.

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