Abstract: Neural collapse describes the optimal learned representation features and their corresponding optimal classifier that globally minimizes the training loss in deep classifier neural networks.

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Abstract: Phase errors induced by platform motion uncertainties significantly degrade image quality in near-field millimeter-wave synthetic aperture radar (SAR) imaging, thus limiting applications for ...