Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.
Xiaohu ZhengWen YaoZhiqiang GongYunyang ZhangXiaoyu ZhaoTingsong JiangPublished in: IJCNN (2022)
Keyphrases
- monte carlo
- quantile regression
- temperature field
- numerical simulations
- cross validated
- least squares
- finite element analysis
- prediction intervals
- finite element method
- computational fluid dynamics
- monte carlo simulation
- markov chain
- heat transfer
- three dimensional
- regression model
- confidence intervals
- particle filter
- monte carlo tree search
- theoretical analysis
- dynamic programming
- response variable
- evolutionary algorithm
- video sequences
- image reconstruction
- denoising