Interpretable Neural Networks for Panel Data Analysis in Economics | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=7A4HsBvmpng


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For slides and more information on the paper, visit https://ai.science/e/interpretable-neural-networks-for-panel-data-analysis-in-economics--fr9lyZxVFVPjoniQb1uR

Speaker: Yucheng Yang; Host: Jiri Stodulka

Motivation:
Even though deep learning and sufficient amount of data may lead to state-of-the art performance in many cases, interpretability and transparency prevent economists from using advanced models like neural networks. In the work, the authors have developed deep architecture of interpretable functions. The model proves to be both interpretable and robust to sparse panel (cross-sectional) data.



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Tags:
interpretability
neural networks
panel data analysis
machine learning
deep learning
artificial intelligence