| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 2026-04-03 | Add EP to BP gradient sparsity analysis | YurenHao0426 | |
| 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> | |||
| 2026-04-01 | Add clean sparsity results: 168 JSONs from independent processes on GPU 1 | YurenHao0426 | |
| CIFAR: 24 JSONs (4 methods × 6 seeds), BP s(1e-6)=98% confirmed Synthetic: 144 JSONs (4 methods × 6 seeds × 3 alphas × 2 depths) All data reliable — each method+seed in separate Python process. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> | |||
