Deep Unsupervised Learning for Climate Informatics

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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=fjtn0rQL1j0


Duration: 57:20
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For slides and more information on the paper, visit https://ai.science/e/clim-align-deep-unsupervised-learning-for-climate-informatics--2021-03-04

Speaker: Claire Monteleoni; Host: Andre Erler

Motivation:
Prediction of Global Climate Change is an important problem for adaptation, but Global Climate Models still have many errors/biases and the resolution is too low for impact modeling.
At the same time, bias-correction and "downscaling" (upsampling) can be framed as classic ML problems.



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