Shuhei Ikemoto
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126
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Neural Computing×1
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2026
Reconstructing Backpropagation from Forward Fluctuations in Noise-modulated Neural Networks
This paper presents a Noise-modulated Neural Network (NNN) that learns and infers with noise, reconstructing backpropagation from forward-pass statistics alone.
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