faeval.git/results/cnn_baseline/bp_s123.json, branch master Unnamed repository; edit this file 'description' to name the repository. Recompute all CNN diagnostics with fixed BP gradient flow 2026-04-03T22:35:12+00:00 YurenHao0426 Blackhao0426@gmail.com 2026-04-03T22:35:12+00:00 88485f6f05243e2fc459807b6644c1ff45a55d2e 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> 
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>
Add EP baseline (5 seeds), GELU ablation (20 runs), CNN BP+DFA (10 runs) 2026-04-02T19:42:02+00:00 YurenHao0426 Blackhao0426@gmail.com 2026-04-02T19:42:02+00:00 fe36805c894671b571f0dd573185394ca2e88c8d 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> 
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>