Biblio
, “Power-scaled Bayesian inference for velocity-model estimation”, in ML4SEISMIC Partners Meeting, 2025.
, “Physical Bayesian Inference for Two-Phase Flow Problems”, ML4SEISMIC Partners Meeting. 2024.
, “Optimizing CO2 Storage Monitoring with Enhanced Rock Physics Modeling”, ML4SEISMIC Partners Meeting. 2024.
, “Normalizing flows for regularization of 3D seismic inverse problems”, ML4SEISMIC Partners Meeting. 2022.
, “Multiscale Wavelet Score-based Posterior Approximations for Seismic Inversion”, in ML4SEISMIC Partners Meeting, 2025.
, “Multifidelity conditional normalizing flows for physics-guided Bayesian inference”, ML4SEISMIC Partners Meeting. 2021.
, “Monitoring with sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2022.
, “Monitoring subsurface CO2 plumes with learned sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2023.
, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
, “ML4Seismic open source software environment”, ML4SEISMIC Partners Meeting. 2021.
, “Mitigating Rock-Physics Model Misspecification in Digital Shadows via Amortized Bayesian Inference”, in ML4SEISMIC Partners Meeting, 2025.
, “Meet our digital twin for geological carbon storage”, ML4SEISMIC Partners Meeting. 2022.
, “Maximizing CO2 injectivity within fracture pressure”, ML4SEISMIC Partners Meeting. 2023.
, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.
, “Low-cost uncertainty quantification for large-scale inverse problems”, ML4SEISMIC Partners Meeting. 2022.
, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
, “Large-scale parametric PDE approximations with model-parallel Fourier neural operators”, ML4SEISMIC Partners Meeting. 2023.
, “Introduction to 2022 ML4SEISMIC Partners Meeting”, ML4SEISMIC Partners Meeting. 2022.
, “Introduction inaugural ML4Seismic Partners Meeting”, ML4SEISMIC Partners Meeting. 2021.
, “Improved seismic survey design by maximizing the spectral gap with global optimization”, ML4SEISMIC Partners Meeting. 2021.
, “Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model”, ML4SEISMIC Partners Meeting. 2021.
, “Improved automatic seismic CO2 leakage detection via dataset augmentation”, ML4SEISMIC Partners Meeting. 2023.
, “Image Impeccable Challenge: An Effective Machine Learning Denoising Method for 3D Seismic Volumes”, ML4SEISMIC Partners Meeting. 2024.
, “FNO-charged ASPIRE”, ML4SEISMIC Partners Meeting. 2024.
, “Fisher-Informed Training of Neural Operators for Reliable PDE Inversion”, in ML4SEISMIC Partners Meeting, 2025.

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