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Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"
In the paper, there seems like the R is a random variable. So the variance of Z shouldn't be calculate by (1-lambda)**2, the way calculated in the code(IBA-paper-code/attribution_bottleneck/bottleneck/per_sample_bottleneck.py). This way of calculation seems that the epsilon in the paper is a N(0,I) variable and R is a fixed variable.
Hi, thank you for your interesting work.
Do you have examples of training the estimator and ReadoutBottelneck?
it seems like that there is something wrong with the compare methods in Occlusion part baseline is missing, it gives error 1 additional argument is missing
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