Biblio
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Author Title Type [ Year
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, “Massive seismic data compression & recovery w/ on-the-fly data extraction”, SINBAD Fall consortium talks. SINBAD, 2017.
, “Multi-domain target-oriented imaging using extreme-scale matrix factorization”, SINBAD Fall consortium talks. SINBAD, 2017.
, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
, “Multifidelity conditional normalizing flows for physics-guided Bayesian inference”, ML4SEISMIC Partners Meeting. 2021.
, “Meet our digital twin for geological carbon storage”, ML4SEISMIC Partners Meeting. 2022.
, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.
, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
, “Monitoring with sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2022.
, “Maximizing CO2 injectivity within fracture pressure”, ML4SEISMIC Partners Meeting. 2023.
, “Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs”, Computers & Geosciences, vol. 178, p. 105402, 2023.
, “Monitoring subsurface CO2 plumes with learned sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2023.
, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.
, “Mitigating Rock-Physics Model Misspecification in Digital Shadows via Amortized Bayesian Inference”, in ML4SEISMIC Partners Meeting, 2025.
, “Multiscale Wavelet Score-based Posterior Approximations for Seismic Inversion”, in ML4SEISMIC Partners Meeting, 2025.