Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler

The Hopfield network serves as a fundamental energy-based model in machine learning, capturing memory retrieval dynamics through an ordinary differential equation (ODE). The model's output, the equilibrium point of the ODE, is traditionally computed via synchronous updates using the forward Eul...

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Hauptverfasser:	Goemaere, Cédric, Deleu, Johannes, Demeester, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing
Online-Zugang:	Volltext bestellen
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