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authorYurenHao0426 <Blackhao0426@gmail.com>2026-04-01 09:54:31 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-04-01 09:54:31 -0500
commita0ec1a6c17b72a3ab769fb8c12f5ef381f38beed (patch)
treeff2ac49bd3747b328e676c961b40622c747b2f3d /results/confirmatory/element_grad_concentration.csv
parenta002f03804fb67ed2489eb4c1229db41e0126514 (diff)
Add BP support sparsity analysis: threshold sweep + gradient histograms
A1 Synthetic: all methods have >93% support at τ=1e-6 (gradients rarely zero) A2 CIFAR: massive gap — BP 98.4% vs DFA 0.4% vs SB 21% vs CB 3% DFA-trained CIFAR networks have near-zero BP gradients for 99.6% of samples This explains why Gamma is unreliable for CIFAR non-BP methods Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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