How to calculate the inverse transform of Graphical Normalizing Flow?

[EternityZY]

Hello, this is a great job
There is a problem, in the experiment Conditioner=DAG, Normalizer=Monotonic
How to calculate the inverse transformation of Graphical Normalizing Flow?
That is, how to get the generated data X' from the random noise Z by using the inverse transform X = g^-1(Z).
If this part of the code has been published, please tell me where it is, thank you

[AWehenkel]

Hi! I do not have my computer with me at the moment but I will take a look at this beginning of August. Inversion should work, it is based on the same algorithms as for the affine transformation except that each monotonic transformation is inverted with a binary search.

[AWehenkel]

Hi @EternityZY! The code is already online, can you explain to me what exactly you are not able to do?