Abstract: Physics-driven neural solvers can reconstruct strongly nonlinear inverse scattering scenes without supervised training, but their per-instance optimization over pixel-wise unknowns is ...
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Abstract: The Fast Fourier Transform (FFT) is a foundational algorithm widely used in fields like digital signal processing and machine learning. While High-Level Synthesis (HLS) tools have boosted ...