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07/18/2023
Solving multiphysics-based inverse problems with learned surrogates and constraints
Solving multiphysics-based inverse problems for geological carbon storag...
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04/12/2023
Learned multiphysics inversion with differentiable programming and machine learning
We present the Seismic Laboratory for Imaging and Modeling/Monitoring (S...
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12/16/2022
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images
With the growing global deployment of carbon capture and sequestration t...
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04/04/2022
Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators
Fourier neural operators (FNOs) are a recently introduced neural network...
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03/28/2022
Accelerating innovation with software abstractions for scalable computational geophysics
We present the SLIM (https://github.com/slimgroup) open-source software ...
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03/27/2022
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
Seismic monitoring of carbon storage sequestration is a challenging prob...
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04/15/2021
Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model
Time-lapse seismic monitoring of carbon storage and sequestration is oft...
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07/02/2020
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Despite the notable progress made in action recognition tasks, not much ...
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04/15/2020