1fb36c4ccf88f7e67ead155496f02338-Supplemental.pdf
–Neural Information Processing Systems
We note that eachxli,t influences Et in two ways: (i) it occurs in Eq.(6) explicitly, but (ii) it also determinesthevaluesof µl 1k,t viaEq.(1). For the experiments on MHNs, the parameterβ was extensively tested, as we have usedβ {1,2,3,5,10,100,1000},and always reported the best result. For experiments comparing against classical Hopfield networks, we have convertedeveryimagetobinary. Results: The results, plotted inFigure 1, are similar tothe ones ofCIFAR10. So far, we analyzed images with Gaussian noise of variance0.2.
Neural Information Processing Systems
Feb-7-2026, 19:05:02 GMT
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