26 citations · 26 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 26 cited
Physics-informed generative neural network: an application to troposphere temperature prediction
Zhihao Chen, Jie Gao, Weikai Wang +1
The troposphere is one of the atmospheric layers where most weather phenomena occur. Temperature variations in the troposphere, especially at 500 hPa, a typical level of the middle…
cs.CV2020
Channel-wise Knowledge Distillation for Dense Prediction
Changyong Shu, Yifan Liu, Jianfei Gao +2
Knowledge distillation (KD) has been proven to be a simple and effective tool for training compact models. Almost all KD variants for dense prediction tasks align the student and t…
cs.LG2018
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting
Bin Wang, Jie Lu, Zheng Yan +4
Weather forecasting is usually solved through numerical weather prediction (NWP), which can sometimes lead to unsatisfactory performance due to inappropriate setting of the initial…