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.
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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.