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