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Found 4 papers, 1 papers with code
An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
The Eikonal equation plays a central role in seismic wave propagation and hypocenter localization, a crucial aspect of efficient earthquake early warning systems.
Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty
This work focuses on predicting the hypocenter locations using HypoPINN and investigates the propagation of uncertainties from the random realizations of HypoPINN's weights and biases using the Laplace approximation.
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography
Conversely, computed tomography (CT) measurements of geomaterials are not limited by the radiation dose.
Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands
Deep learning is fast emerging as a potential disruptive tool to tackle longstanding research problems across the sciences.
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