Automatic Differentiation (AD) forms a cornerstone in the optimisation of machine learning models, providing an efficient computational method to obtain accurate derivatives. This technique underpins ...
The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...
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