An exponential Hopfield model with binary neurons, defined by exponentials of quadratic losses, stores exponentially many patterns and retains exponential capacity under noise, with a quantified basin threshold.
Baldassi, et al.,Unveiling the Structure of Wide Flat Minima in Neural Networks, Phys
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Yet another exponential Hopfield model
An exponential Hopfield model with binary neurons, defined by exponentials of quadratic losses, stores exponentially many patterns and retains exponential capacity under noise, with a quantified basin threshold.