Analog optical inference on 5.84 million mortgage records achieves 94.6% balanced accuracy, with gaps traced to encoding and architecture rather than hardware non-idealities.
Borisov et al., Deep neural networks and tabular data: A survey, IEEE Trans.\ Neural Networks and Learning Systems 35(6), 7499--7519 (2024)
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Analog Optical Inference on Million-Record Mortgage Data
Analog optical inference on 5.84 million mortgage records achieves 94.6% balanced accuracy, with gaps traced to encoding and architecture rather than hardware non-idealities.