A student in my group has written a manuscript exploring high dimensional representations (e.g. embeddings from from deep neural networks), specifically common and new measures of the extent to which those embeddings are evenly distributed across available space.

The work is loosely motivated by some recent observations that well distributed points may enable greater model efficacy, e.g. in word embeddings.

We'll drop it on arXiv soon, and would like to submit to a conference. NeurIPS will eventually show up ... but any suggestions for a somewhat smaller (and sooner) meeting that will be intellectually engaging?