Recurrent neural networks (RNNs) integrate feedback pathways that endow them with dynamic memory and sequential processing capabilities but also render their behaviour sensitive to initial conditions, ...
Neural networks have become a versatile toolkit for tackling optimisation tasks that range from classical linear and quadratic programmes to complex nonconvex and sparse recovery problems. By casting ...
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