Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...
This repo contains the matlab codes to reproduce the results for the paper: Vuong, Nguyen & Goulet (2024), Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference ...
MATLAB toolbox implementing the quantitative spatial economic model of: Fajgelbaum, P. D., & Schaal, E. (2020). Optimal transport networks in spatial equilibrium. Econometrica, 88(4), 1411-1452. The ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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