arxiv
PublishedApril 24, 2026 at 4:00 AM
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Auto-Unrolled Proximal Gradient Descent: An AutoML Approach to Interpretable Waveform Optimization
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arXiv:2603.17478v2 Announce Type: replace Abstract: This study explores the combination of automated machine learning (AutoML) with model-based deep unfolding (DU) for optimizing wireless beamforming and waveforms. We convert the iterative proximal gradient descent (PGD) algorithm into a deep neural
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