Abstract: Embedding nonlinear dynamical systems into artificial neural networks is a powerful new formalism for machine learning. By parameterizing ordinary differential equations (ODEs) as neural ...
Abstract: In order to avoid frequent millimeter-wave (mmWave) beam training in high-speed scenarios, in this letter, we propose to exploit the neural ordinary differential equation (ODE) to predict ...
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