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Found 4 papers, 1 papers with code
Keypoint-Guided Optimal Transport
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.
DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks
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.
Interpretable Neural Networks for Panel Data Analysis in Economics
In this paper, we propose a class of interpretable neural network models that can achieve both high prediction accuracy and interpretability.
The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data
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.
