keenanpepper/

whestbench-relu-mlp-moments-10k

A dataset of 10,500 random ReLU MLPs (10,000 train + 500 held-out test) together with Monte-Carlo–estimated per-layer activation cumulants (mean, variance, skewness, kurtosis) for every layer, for both the pre-activation and post-ReLU signals. Built for the WhestBench Estimation Challenge 2026 and for research on analytic moment / uncertainty propagation through deep networks.