Bi-LSTM transfer learning from deterministic solvers to limited 3D Monte Carlo TPSFs removes systematic bias of analytical models while preserving competitive accuracy and fast inference.
Artificial neural network method for determining optical properties from double-integrating-spheres measurements.Chinese Optics Letters, 8(2):173
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Data-efficient extraction of optical properties from 3D Monte Carlo TPSFs using Bi-LSTM transfer learning
Bi-LSTM transfer learning from deterministic solvers to limited 3D Monte Carlo TPSFs removes systematic bias of analytical models while preserving competitive accuracy and fast inference.