Biblio
, “Adjoint operators as summary functions in amortized Bayesian inference frameworks”, ML4SEISMIC Partners Meeting. 2022.
, “Amortized velocity continuation with Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
, “Background-Conditioned Diffusion Inversion for Seismic Velocity Models”, in ML4SEISMIC Partners Meeting, 2025.
, “Bridging the Acoustic–Elastic Gap in Seismic Inversion via Robust Summary Statistics”, in ML4SEISMIC Partners Meeting, 2025.
, “CO2 reservoir monitoring through Bayesian data assimilation”, ML4SEISMIC Partners Meeting. 2023.
, “De-risking GCS projects with explainable CO$_2$ leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
, “Digital Shadow for CO2-based Enhanced Oil Recovery (CO2-EOR)”, in ML4SEISMIC Partners Meeting, 2025.
, “A Digital Twin for Geological Carbon Storage with Controlled Injectivity”, ML4SEISMIC Partners Meeting. 2024.
, “Distributed Fourier Neural Operators”, ML4SEISMIC Partners Meeting. 2021.
, “A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion”, ML4SEISMIC Partners Meeting. 2021.
, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
, “End-to-end permeability inversion from prestack time-lapse seismic data: a case study on Compass model”, ML4SEISMIC Partners Meeting. 2023.
, “Enhancing Performance with Uncertainty Estimation in Geological Carbon Storage Leakage Detection from Time-Lapse Seismic Data”, ML4SEISMIC Partners Meeting. 2024.
, “Fisher-Informed Training of Neural Operators for Reliable PDE Inversion”, in ML4SEISMIC Partners Meeting, 2025.
, “FNO-charged ASPIRE”, ML4SEISMIC Partners Meeting. 2024.
, “Image Impeccable Challenge: An Effective Machine Learning Denoising Method for 3D Seismic Volumes”, ML4SEISMIC Partners Meeting. 2024.
, “Improved automatic seismic CO2 leakage detection via dataset augmentation”, ML4SEISMIC Partners Meeting. 2023.
, “Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model”, ML4SEISMIC Partners Meeting. 2021.
, “Improved seismic survey design by maximizing the spectral gap with global optimization”, ML4SEISMIC Partners Meeting. 2021.
, “Introduction inaugural ML4Seismic Partners Meeting”, ML4SEISMIC Partners Meeting. 2021.
, “Introduction to 2022 ML4SEISMIC Partners Meeting”, ML4SEISMIC Partners Meeting. 2022.
, “Large-scale parametric PDE approximations with model-parallel Fourier neural operators”, ML4SEISMIC Partners Meeting. 2023.
, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
, “Low-cost uncertainty quantification for large-scale inverse problems”, ML4SEISMIC Partners Meeting. 2022.
, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.

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