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Testing Audio Compression Autoencoders for Seismology: Moving Toward Foundation Models

Abstract Efforts to develop foundation models (FMs) for seismic waveform analysis are beginning to advance with progress still needed for geophysics applications. FMs learn a generalized representation of the data using a self‐supervised approach, thus allowing several downstream tasks to be perform...

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Principais autores: Laura Laurenti, Christopher W. Johnson, Daniele Trappolini, Elisa Tinti, Fabio Galasso, Chris Marone
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2026-02-01
Serier:Journal of Geophysical Research: Machine Learning and Computation
Fag:
AI for seismology
deep learning
few‐shot learning
foundation models
seismic autoencoder
seismic waveform analysis
Online adgang:https://doi.org/10.1029/2025JH000787
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