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Motivation and context:
Benchmarking is hard and I screwed up. The circular convolution wasn't nearly as accurate as it was supposed to be because I only validated the choice of distributions on 50 neurons per dimensions. The choice proposed in this PR is validated on 50 and 200 neurons per dimensions and also for convolution of random + unitary vector, random + random vector, unitary + unitary vector.
I updated the corresponding section in the intercept distribution notebook.
@rworr, this might be relevant to you.
Interactions with other PRs:
none
How has this been tested?
Validation done elsewhere, the linked notebook gives the main conclusions.
Unit tests still pass, though one test needed adjustment because it violated the assumption of high-dimensional random vectors.
How long should this take to review?
Types of changes:
Checklist: