Biblio
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] Filters: Keyword is generative model [Clear All Filters]
, “Bridging the Acoustic–Elastic Gap in Seismic Inversion via Robust Summary Statistics”, in ML4SEISMIC Partners Meeting, 2025.
, “Efficient and scalable posterior surrogate for seismic inversion via wavelet score-based generative models”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Multiscale Wavelet Score-based Posterior Approximations for Seismic Inversion”, in ML4SEISMIC Partners Meeting, 2025.
, “Power-scaled Bayesian inference for velocity-model estimation”, in ML4SEISMIC Partners Meeting, 2025.
, “Power-scaled Bayesian inference with score-based generative models”, in International Meeting for Applied Geoscience and Energy, 2025.
, “SAGE — Subsurface foundational model with AI-driven Geostatistical Extraction”, in EAGE Workshop, 2025.
, “SAGE - Subsurface modeling with AI-driven Geostatistical Extraction and evaluation on North Sea Data”, in ML4SEISMIC Partners Meeting, 2025.
, “Seismic Dataset Curation from UK National Data Repository to Validate SAGE and WISE”, in ML4SEISMIC Partners Meeting, 2025.
, “Towards foundation models for subsurface priors and posteriors”, in Workshop on Scientific Machine Learning 2025, Austin, TX, 2025.
, “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.