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After reading Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE, I decided to try out the 3-body problem. I managed to make it run after encountering some technical issues on my side.
Despite reading the ReadMe and the paper and looking at the code, I cannot tell how I can swap between the methods the papers mentioned or how I can tell what is simulated? NODE or ODE? Naive, Adjoint or ACA?
The text was updated successfully, but these errors were encountered:
After reading Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE, I decided to try out the 3-body problem. I managed to make it run after encountering some technical issues on my side.
Despite reading the ReadMe and the paper and looking at the code, I cannot tell how I can swap between the methods the papers mentioned or how I can tell what is simulated? NODE or ODE? Naive, Adjoint or ACA?
The text was updated successfully, but these errors were encountered: