Biblio
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Author Title Type [ Year
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, “OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI”, in International Meeting for Applied Geoscience and Energy, 2026.
, “SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior”, in International Meeting for Applied Geoscience and Energy, 2026.
, “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.
, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.
, “Neural wave-based imaging with amortized uncertainty quantification”, in Inverse Problems: Modelling and Simulation, 2024.
, “Neural wave-based imaging with amortized uncertainty quantification”, ICL Seminar. 2024.
, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction”, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.
, “True amplitude depth migration using curvelets”, Geophysics, vol. 86, pp. S299-S310, 2021.
, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, ML4SEISMIC Partners Meeting. 2021.
, “An Event-Driven Approach to Serverless Seismic Imaging in the Cloud”, IEEE Transactions on Parallel and Distributed Systems, vol. 31, pp. 2032-2049, 2020.
, “Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks”, in SIAM Conference on Imaging Science, 2020.
, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
, “Event-driven workflows for large-scale seismic imaging in the cloud”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3984-3988.
, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
, “Learned imaging with constraints and uncertainty quantification”, in Neural Information Processing Systems (NeurIPS), 2019.
, “Learned imaging with constraints and uncertainty quantification”, HotCSE Seminar. 2019.
, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
, “Sparsity- and continuity-promoting seismic image recovery with curvelet frames”, Applied and Computational Harmonic Analysis, vol. 24, pp. 150-173, 2008.