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Adaptive computation in neural ODEs

Neural networks generally have a fixed amount of computation which is generally referred to as the number of layers. A recurrent neural network applies some neural network ...
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Adaptive computation in neural ODEs

I'm not an expert on neural networks, so don't take what I say here uncritically. My impression from skimming the paper is that they're replacing a set of discrete layers with a continuous pseudo-time ...
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Get the equilibrium value in coupled ode by python

The error you're seeing is because your model function has the first two arguments in the wrong order. solve_ivp takes the current time first, followed by ...
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