Biblio
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] Filters: Keyword is Inverse problems [Clear All Filters]
, “Velocity Model Building with Jacobian-Informed Neural Operators”, in ML4SEISMIC Partners Meeting, 2025.
, “WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction”, Geophysics, vol. 90, 2025.
, “Context- and uncertainty-aware Digital Twin for the Optimization of Underground Storage Operations”, in SIAM Geosciences Webinar Series, 2026.
, “Decision Making and Control with Digital Twins for Underground Energy Storage”, in SIAM Conference on Uncertainty Quantification (UQ26), Minneapolis, MN, 2026.
, “Foundation models for Full-Waveform Inference w/ Uncertainty Quatification”, in 1st AIHPG - Artificial Intelligence & High-Performance Geophysics Workshop, Natal, Brazil, 2026.
, “Learned Multiphysics Inversion with Differentiable Programming & Machine Learning: An open-source path from wave physics to CO₂ digital twins”, in EAGE Workshop: Open for Energy: Open Source, Open Data, Open Models, EAGE, Aberdeen, 2026.
, “Self-attention summary networks for subsurface velocity-model building from common-image gathers”. 2026.
, “Uncertainty-aware Digital Twins for Monitoring and Optimizing of Geological Carbon Storage”, in Net-Zero Emissions: Critical Minerals, Hydrogen, Nuclear, Geothermal, Wind, CCUS, and AI, SEG Workshop, 2026.
, “Uncertainty-aware Digital Twins for Monitoring and Optimizing of Underground Energy Operations”, in Landmark Innovation Forum & Expo 2026, LIFE2026, Orlando, FL, 2026.
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