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09/07/2023
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
We present a data-driven model for ground-motion synthesis using a Gener...
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05/06/2022
Generative Adversarial Neural Operators
We propose the generative adversarial neural operator (GANO), a generati...
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04/23/2022
U-NO: U-shaped Neural Operators
Neural operators generalize classical neural networks to maps between in...
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08/11/2021
Seismic wave propagation and inversion with Neural Operators
Seismic wave propagation forms the basis for most aspects of seismologic...
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05/24/2021
Deep Learning-based Damage Mapping with InSAR Coherence Time Series
Satellite remote sensing is playing an increasing role in the rapid mapp...
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01/09/2021
HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks
We introduce a scheme for probabilistic hypocenter inversion with Stein ...
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11/18/2020
Data-driven Accelerogram Synthesis using Deep Generative Models
Robust estimation of ground motions generated by scenario earthquakes is...
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03/25/2020
EikoNet: Solving the Eikonal equation with Deep Neural Networks
The recent deep learning revolution has created an enormous opportunity ...
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02/05/2020
Extracting dispersion curves from ambient noise correlations using deep learning
We present a machine-learning approach to classifying the phases of surf...
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06/30/2019
Directivity Modes of Earthquake Populations with Unsupervised Learning
We present a novel approach for resolving modes of rupture directivity i...
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09/08/2018
