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Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks
To achieve this, the distribution of energy minima is tracked in a simplified MHN in which equidistant normalised patterns are stored.
Training a Hopfield Variational Autoencoder with Equilibrium Propagation
In spite of its theoretical guarantees, its application in the AI domain remains limited to the discriminative setting.
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