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Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy., , , , and . CoRR, (2019)All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces., , , and . CoRR, (2021)Super-resolution image display using diffractive decoders., , , , , , , and . CoRR, (2022)Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks., , , , and . CoRR, (2023)All-optical complex field imaging using diffractive processors., , , , , and . CoRR, (2024)Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor., , , , , , , , , and 7 other author(s). CoRR, (2024)Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions., , , , , and . CoRR, (2023)Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks., , , , , , , and . CoRR, (2022)Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks., , , and . CoRR, (2018)Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery., , , , , , and . CoRR, (2018)