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A physical neural network training approach toward multi-plane light conversion design
Multi-plane light converter (MPLC) designs supporting hundreds of modes are attractive in high-throughput optical communications.
Training of mixed-signal optical convolutional neural network with reduced quantization level
Mixed-signal artificial neural networks (ANNs) that employ analog matrix-multiplication accelerators can achieve higher speed and improved power efficiency.
TWO-STEP UNCERTAINTY NETWORK FOR TASKDRIVEN SENSOR PLACEMENT
Optimal sensor placement achieves the minimal cost of sensors while obtaining the prespecified objectives.
Signal retrieval with measurement system knowledge using variational generative model
Signal retrieval from a series of indirect measurements is a common task in many imaging, metrology and characterization platforms in science and engineering.
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