| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 2026-04-03 | Recompute all CNN diagnostics with fixed BP gradient flow | YurenHao0426 | |
| CNN CIFAR-10 (5 seeds, fixed Gamma): BP: acc=86.8%, Gamma=0.970, rho=0.603 DFA: acc=56.7%, Gamma=0.896, rho=0.061 EP: acc=50.6%, Gamma=0.484, rho=0.450 SB: acc=63.3%, Gamma=1.000 (BP self-cos, feedback nets not saved), rho=0.601 CB: acc=31.8%, Gamma=1.000 (BP self-cos), rho=0.226 DFA Gamma=0.896 is notably high — CNN DFA credit aligns well with BP gradients. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> | |||
| 2026-04-02 | Add EP baseline (5 seeds), GELU ablation (20 runs), CNN BP+DFA (10 runs) | YurenHao0426 | |
| EP (L=4 d=256): acc≈30%, Gamma≈0, rho≈0 — EP credit signal weak on feedforward MLP GELU ablation (ReLU variant): 4 methods × 5 seeds complete CNN BP+DFA: 5 seeds each, BP + DFA on SmallCNN Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> | |||
