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20192026
most citedNeuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout

1 citations · 1 across the 6 of their papers we have counts for

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cs.NE2020

Towards On-Chip Bayesian Neuromorphic Learning

Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia

If edge devices are to be deployed to critical applications where their decisions could have serious financial, political, or public-health consequences, they will need a way to si…