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.
AnEfficientSolutionTechniquefortheRadiativeTransferEquation.IMPACT of Computing in Science and Engineering, 5(3):201–214, September 1993
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.