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by sampo 2736 days ago
> How would this handle systems in which the dimensionality of the hidden layers is not equal to the input dimension

You could use the ODE solver to integrate the system from t1 to t2a. Then you need one normal neural net layer (one forward Euler time step) that takes the system from t2a to t2b and changes dimensions. Then you can again use the ODE solver to integrate from t2b to t3.