The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Toward Real-Time Seismic Imaging: Efficient Learning-Based Inference of Subsurface Models (AGU25)

Toward Real-Time Seismic Imaging: Efficient Learning-Based Inference of Subsurface Models

Mike Wendels1, Yiyu Ni2, Marine Denolle2 and Nathan Kutz3, (1)University of Washington Seattle Campus, Department of Applied Mathematics, Seattle, United States, (2)University of Washington Seattle Campus, Department of Earth and Space Sciences, Seattle, United States, (3)University of Washington Seattle Campus, Departments of Applied Mathematics and Electrical & Computer Engineering, Seattle, United States