9 citations · 13 across the 2 of their papers we have counts for
3 papers
physics.ao-ph2021★ 4 cited
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
Sijie He, Xinyan Li, Laurie Trenary +3
Sub-seasonal climate forecasting (SSF) is the prediction of key climate variables such as temperature and precipitation on the 2-week to 2-month time horizon. Skillful SSF would ha…
cs.LG2020★ 9 cited
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
Sijie He, Xinyan Li, Timothy DelSole +2
Sub-seasonal climate forecasting (SSF) focuses on predicting key climate variables such as temperature and precipitation in the 2-week to 2-month time scales. Skillful SSF would ha…
cs.LG2017
High-Dimensional Dependency Structure Learning for Physical Processes
Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He +2
In this paper, we consider the use of structure learning methods for probabilistic graphical models to identify statistical dependencies in high-dimensional physical processes. Suc…