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  • Presentation | A33G: Data-Driven Methods for Quantifying Atmospheric Composition: Advances in Computation and Statistical Learning II Poster
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  • A33G-2246: Probing the Learned Embeddings of a Transformer-Based Air Quality Foundation Model
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  • Board 2246‚ Hall EFG (Poster Hall)
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Author(s):
Jason Hu, Stanford University (First Author, Presenting Author)
Makoto Kelp, Stanford University
Ivan Higuera-Mendieta, Stanford University
Obin Sturm, University of Southern California
Marshall Burke, Stanford University

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