Invalid JSON:Unexpected token 'N', ..."_recall": NaN,
""... is not valid JSON
| { | |
| "key": "opt09_srif_softreset/default", | |
| "tag": "default", | |
| "script": "opt09_srif_softreset.py", | |
| "script_sha256_16": "dd62e980e1fe3fd1", | |
| "hf_folder": "applied/opt09_srif_softreset", | |
| "priority": 0, | |
| "note": "default: srif reset, learned lam/v_reset, fp32 membrane", | |
| "phase": 2, | |
| "n_phases": 10, | |
| "method": "harmonic_matched", | |
| "command": [ | |
| "/usr/bin/python3", | |
| "-m", | |
| "torch.distributed.run", | |
| "--standalone", | |
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| "/kaggle/working/scripts/opt09_srif_softreset.py", | |
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| "finished_utc": "2026-08-23T04:50:44.765308+00:00", | |
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| "optimization": "srif_softreset", | |
| "research_section": "4. Membrane-Potential Memory Wall -- Soft Reset Integrate-and-Fire (SRIF), dynamic reset potential", | |
| "reference": "Guo et al., 'Reducing Information Loss for Spiking Neural Networks' (SRIF), ECCV 2022; research.md S4 (stacks with MINT / SpQuant-SNN membrane quantization)", | |
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| "mechanism": "V = u - s*((1-lam)*u + lam*thresh) + s*v_r; lam=0,v_r=0 is the baseline hard reset exactly, lam=1,v_r=0 discards zero charge", | |
| "cost": "2 scalars per spiking layer; identical FMA count per tick, so the reset change is free at inference time", | |
| "caveat": "the sweep swaps the reset on ALREADY-TRAINED weights, which under-states what training with each reset would give; and a charge-conserving reset can raise the spike count, so read spikes_per_inference next to the accuracy" | |
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| "config": { | |
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