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Lim Lee

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Testing a physics-informed feature for broad supernova classification &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/4abe5c51-2cab-4ae7-bc7a-6bc65ec438e0 AUTHOR: Lim Lee 281VIEWS 1REPLIES 22 days ago
Hunting anomalous comets with machine-learned probability distributions ![Hunting anomalous comets with machine-learned probability distributions][1] &[Wolfram Notebook][2] [1]:... AUTHOR: Lim Lee 634VIEWS 1REPLIES 2 months ago
Forging worlds: a generative model of the exoplanet population ![Forging worlds: a generative model of the exoplanet population][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Forgingworldsagenerativemodeloftheexoplanetpopulation.png&userId=20103 ... AUTHOR: Lim Lee 686VIEWS 1REPLIES 2 months ago
Learning the Hertzsprung-Russell diagram: machine learning classification of stellar evolution &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/1ad1af94-9785-4367-b665-21c66f5a4045 AUTHOR: Lim Lee 1341VIEWS 1REPLIES 4 months ago
[SCX26] Predicting high-redshift brightest cluster galaxy stellar mass using SHAP values &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/9a7cf5c6-b31f-4871-9352-8136600d36a3 AUTHOR: Lim Lee 1769VIEWS 1REPLIES 8 months ago