2 code implementations • 23 Mar 2023 • Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu
In this paper, we propose a novel KeyPoint-Guided model by ReLation preservation (KPG-RL) that searches for the optimal matching (i. e., transport plan) guided by the keypoints in OT.
no code implementations • 29 Dec 2021 • Jiequn Han, Yucheng Yang, Weinan E
An efficient, reliable, and interpretable global solution method, the Deep learning-based algorithm for Heterogeneous Agent Models (DeepHAM), is proposed for solving high dimensional heterogeneous agent models with aggregate shocks.
no code implementations • 11 Oct 2020 • Yucheng Yang, Zhong Zheng, Weinan E
In this paper, we propose a class of interpretable neural network models that can achieve both high prediction accuracy and interpretability.
no code implementations • 11 Oct 2020 • Yucheng Yang, Yue Pang, Guanhua Huang, Weinan E
The current knowledge system of macroeconomics is built on interactions among a small number of variables, since traditional macroeconomic models can mostly handle a handful of inputs.