Biblio
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“Application of matrix square root and its inverse to downward wavefield extrapolation”, in EAGE Annual Conference Proceedings, 2014.
, “Randomized HSS acceleration for full-wave-equation depth stepping migration”, in SEG Technical Program Expanded Abstracts, 2014, pp. 3752-3756.
, “Devito: automated fast finite difference computation”, in WOLFHPC 2016 Workshop (Super Computing), 2016.
, “DeVito: fast finite difference computation”, in Super Computing (SC16), 2016.
, “Devito: Towards a generic finite difference DSL using symbolic python”, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.
, “Massive 3D seismic data compression and inversion with hierarchical Tucker”, in SEG Technical Program Expanded Abstracts, 2017, pp. 1347-1352.
, “High-frequency wavefield recovery with weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3959-3963.
, “Sparsity promoting least-squares migration for long offset sparse OBN”, in SEG Workshop on Promises and Challenges with Sparse Node Ultra-long Offset OBN Acquisition in Imaging and Earth Model Building; virtual, 2020.
, “Transfer learning in large-scale ocean bottom seismic wavefield reconstruction”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1666-1670.
, “Wavefield recovery with limited-subspace weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2020, pp. 2858-2862.
, “A practical workflow for land seismic wavefield recovery with weighted matrix factorization”, in SEG Technical Program Expanded Abstracts, 2021, pp. 145-149.
, “Abstractions for at-scale seismic inversion”, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “3D seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation”, in International Meeting for Applied Geoscience and Energy, 2024.
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