most citedSub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances

9 citations · 9 across the 1 of their papers we have counts for

collaborators

2 papers

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.LG2019

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization

Xinyan Li, Qilong Gu, Yingxue Zhou +2

While stochastic gradient descent (SGD) and variants have been surprisingly successful for training deep nets, several aspects of the optimization dynamics and generalization are s…