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Metadata only2022
This record links to the variational autoencoder paper, which introduces a practical approach to variational inference with neural networks. It supports realistic testing of statistics, generative modelling, and advanced research metadata.
Diederik P. Kingma, Max WellingUFTAN UNIVERSITYStatistics
Metadata only2023
This record links to the XGBoost paper, which describes a scalable tree boosting system used widely in data science. It provides a strong test case for statistics metadata, predictive modelling keywords, and external link previews.
Tianqi Chen, Carlos GuestrinUFTAN UNIVERSITYStatistics