A single germanium photodiode uses optoelectronic chromatic dispersion to generate multi-frequency RF features that machine-learning models convert into spectral reconstructions with 0.178 nm accuracy for single wavelengths in the C- and L-bands.
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach.Data Mining and Knowledge Discovery, 38(5):2903– 2941, 2024
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Optoelectronic Chromatic Dispersion in a Single Photodiode for Machine-Learning-Based Computational Spectroscopy
A single germanium photodiode uses optoelectronic chromatic dispersion to generate multi-frequency RF features that machine-learning models convert into spectral reconstructions with 0.178 nm accuracy for single wavelengths in the C- and L-bands.