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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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03/06/2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
We present a novel approach to transcranial ultrasound computed tomograp...
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07/24/2022
Reliable amortized variational inference with physics-based latent distribution correction
Bayesian inference for high-dimensional inverse problems is challenged b...
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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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12/20/2021
WaRIance: wavefield reconstruction inversion with stochastic variable projection
We propose a variation on wavefield reconstruction inversion for seismic...
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10/10/2021
Deep Bayesian inference for seismic imaging with tasks
We propose to use techniques from Bayesian inference and deep neural net...
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01/11/2021
Preconditioned training of normalizing flows for variational inference in inverse problems
Obtaining samples from the posterior distribution of inverse problems wi...
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07/15/2020
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows
In inverse problems, we often have access to data consisting of paired s...
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04/16/2020
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization
Uncertainty quantification for full-waveform inversion provides a probab...
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04/15/2020
Extended source imaging, a unifying framework for seismic medical imaging
We present three imaging modalities that live on the crossroads of seism...
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04/01/2020
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach
In inverse problems, uncertainty quantification (UQ) deals with a probab...
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01/13/2020
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification
Uncertainty quantification is essential when dealing with ill-conditione...
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09/13/2019