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Few-read fault localization in simulated analog crossbars: a sparse-recovery decoder vs reading every cell (with the claims that failed) [R]

Reddit r/MachineLearning ↗ · 2026-10-21

A preprint presenting a sparse-recovery decoder that localizes up to 64 stuck cells in a 256×256 simulated analog crossbar using only 4–12 probe reads instead of 256, along with a 16-parameter drift calibration, while transparently reporting several pre-registered claims that failed.

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