What is it about?

We analyze the need for deep learning inversion and the problems with current models, and explore and validate a number of additional structures that would be beneficial to the model.

Featured Image

Why is it important?

Each deep learning model is a stack of individual modules, and exploring modules that are useful for inversion can help us understand deep learning and design more powerful models.

Read the Original

This page is a summary of: MAU-net: A multibranch attention U-net for full-waveform inversion, Geophysics, March 2024, Society of Exploration Geophysicists,
DOI: 10.1190/geo2023-0043.1.
You can read the full text:



The following have contributed to this page