Biblio
“CO2 reservoir monitoring through Bayesian data assimilation”, ML4SEISMIC Partners Meeting. 2023.
, “Improved automatic seismic CO2 leakage detection via dataset augmentation”, ML4SEISMIC Partners Meeting. 2023.
, “De-risking GCS projects with explainable CO$_2$ leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
, “Monitoring subsurface CO2 plumes with learned sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2023.
, “Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model”, ML4SEISMIC Partners Meeting. 2023.
, “Distributed Fourier Neural Operators”, ML4SEISMIC Partners Meeting. 2021.
, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
, “Introduction to 2022 ML4SEISMIC Partners Meeting”, ML4SEISMIC Partners Meeting. 2022.
, “Meet our digital twin for geological carbon storage”, ML4SEISMIC Partners Meeting. 2022.
, “Introduction inaugural ML4Seismic Partners Meeting”, ML4SEISMIC Partners Meeting. 2021.
, “Maximizing CO2 injectivity within fracture pressure”, ML4SEISMIC Partners Meeting. 2023.
, “ML4Seismic open source software environment”, ML4SEISMIC Partners Meeting. 2021.
, “Randomized linear algebra for inversion”, ML4SEISMIC Partners Meeting. 2021.
, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
, “Towards generative seismic kriging with normalizing flows”, ML4SEISMIC Partners Meeting. 2023.
, “Normalizing flows for regularization of 3D seismic inverse problems”, ML4SEISMIC Partners Meeting. 2022.
, “Variational inference for artifact removal of adjoint solutions in photoacoustic problems”, ML4SEISMIC Partners Meeting. 2021.
, “Uncertainty quantification so what? Leveraging probabilistic seismic inversion for experimental design”, ML4SEISMIC Partners Meeting. 2023.
, “Adjoint operators as summary functions in amortized Bayesian inference frameworks”, ML4SEISMIC Partners Meeting. 2022.
, “Large-scale parametric PDE approximations with model-parallel Fourier neural operators”, ML4SEISMIC Partners Meeting. 2023.
, “A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion”, ML4SEISMIC Partners Meeting. 2021.
, “Multifidelity conditional normalizing flows for physics-guided Bayesian inference”, ML4SEISMIC Partners Meeting. 2021.
, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, ML4SEISMIC Partners Meeting. 2021.
, “Low-cost uncertainty quantification for large-scale inverse problems”, ML4SEISMIC Partners Meeting. 2022.
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