Biblio
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, “Abstractions for at-scale seismic inversion”, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
, “Accelerating an iterative Helmholtz solver with FPGAs”, in EAGE Annual Conference Proceedings, 2014.
, “Accelerating an iterative Helmholtz solver with FPGAs”, in OGHPC, 2014.
, “Accelerating innovation with software abstractions for scalable computational geophysics”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
, “Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Amortized normalizing flows for transcranial ultrasound with uncertainty quantification”, in Medical Imaging with Deep Learning, 2023.
, “Assessing the need for repeatability in acquisition of time-lapse data”, in CSEG Annual Conference Proceedings, 2013.
, “Compressed sensing in 4-D marine–-recovery of dense time-lapse data from subsampled data without repetition”, in EAGE Annual Conference Proceedings, 2015.
, “Compressive time-lapse marine acquisition”, in SEG Workshop on Low cost geophysics: How to be creative in a cost-challenged environment; Dallas, 2016.
, “Compressive time-lapse seismic data processing using shared information”, in CSEG Annual Conference Proceedings, 2015.
, “DT4GCS –- Digital Twin for Geological CO2 Storage and Control”, in Gigatonnes CO2 Storage Workshop, 2024.
, “Extended source imaging –- a unifying framework for seismic and medical imaging”, in SEG Technical Program Expanded Abstracts, 2020, pp. 3502-3506.
, “Fast and reliability-aware seismic imaging with conditional normalizing flows”, in Intelligent illumination of the Earth, 2021.
, “Fast neural FWI with amortized uncertainty quantification”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Frequency-domain elastic waveform inversion using weighting factors related to source-deconvolved residuals”, in EAGE Annual Conference Proceedings, 2012.
, “Generative Seismic Kriging with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Improved time-lapse data repeatability with randomized sampling and distributed compressive sensing”, in EAGE Annual Conference Proceedings, 2017.
, “Inference of CO2 flow patterns – a feasibility study”, in Neural Information Processing Systems (NeurIPS), 2023.
, “Iterative reconstruction algorithm for non-linear operators”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 579-583.
, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.
, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”, in International Meeting for Applied Geoscience and Energy, 2023.
, “A new take on compressive time-lapse seismic acquisition, imaging and inversion”, in PIMS Workshop on Advances in Seismic Imaging and Inversion, 2015.
, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in SIAM Conference on Uncertainty Quantification, 2024.