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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-04-03 10:37:49 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-04-03 10:37:49 -0500 |
| commit | 593628cec3cd75eee1033e7a8d6bc4572de5a543 (patch) | |
| tree | cab6d621e4a016c1a9751382fc3a1711aa4d197f /experiments/a2_bp_supplement.py | |
| parent | ae368dafa311946c5a57b07c4c2d3c78d92e48a4 (diff) | |
Add EP to BP gradient sparsity analysis
EP CIFAR d=256: s(1e-6)=100%, mean_norm=1.41e-04
EP produces networks where ALL samples have non-zero BP gradients,
unlike DFA (0.4%), SB (21%), CB (3%). EP is closer to BP (98.7%).
Updated clean_sparsity_summary.csv (980 rows, now includes EP).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Diffstat (limited to 'experiments/a2_bp_supplement.py')
0 files changed, 0 insertions, 0 deletions
