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Hi,

1. What is a black box ode solver?

(It sounds like a proprietary tool but that doesn't make sense and googling didn't bring up anything useful)

2. Have you found any areas where there is a significant difference in the quality of the results using this method rather then the normal discrete method?

I am sorry if these questions are a bit bellow you, or if you already answered them in the paper.

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Black box means you have no access to how a system actually does some task. All you know is that given an input the system will provide the output. ODE solver is an ordinary differential equation solver. For example [a]

[a] : https://docs.scipy.org/doc/scipy/reference/generated/scipy.i...

1. As the other reply said, we just mean an ODE solver whose internal operations are a detail we don't need to worry about.

2. This paper only had proofs of concepts and toy demos. But our follow-up paper, FFJORD [https://arxiv.org/abs/1810.01367] we used the continuous normalizing flows to get SOTA efficiently sample-able density models.

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