Biblio
] , “Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
, “Curvelet-based primary-multiple separation from a Bayesian perspective”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2510-2514.
, “Curvelet-domain matched filtering with frequency-domain regularization”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3645-3649.
, “Sparsity-promoting joint microseismic source collocation and source-time function estimation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 2574-2579.
, “High resolution fast microseismic source collocation and source time function estimation”, in SEG Technical Program Expanded Abstracts, 2017, pp. 2778-2783.
, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
, “Surface-related multiple elimination with deep learning”, in SEG Technical Program Expanded Abstracts, 2019, pp. 4629-4634.
, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
, “Deep-learning based ocean bottom seismic wavefield recovery”, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
, “Learning by example: fast reliability-aware seismic imaging with normalizing flows”, in SEG Technical Program Expanded Abstracts, 2021, pp. 1580-1585.
, “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.
, “Weak deep priors for seismic imaging”, in SEG Technical Program Expanded Abstracts, 2020, pp. 2998-3002.
, “Velocity continuation with Fourier neural operators for accelerated uncertainty quantification”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
, “Higher dimensional blue-noise sampling schemes for curvelet-based seismic data recovery”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 191-195.
, “A parallel windowed fast discrete curvelet transform applied to seismic processing”, in SEG Technical Program Expanded Abstracts, 2006, vol. 25, pp. 2767-2771.
, “Migration with surface-related multiples from incomplete seismic data”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 3222-3227.
, “Limitations of the deconvolutional imaging condition for two-way propagators”, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 3916-3920.
, “Imaging with multiples accelerated by message passing”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
, “Fast linearized inversion with surface-related multiples with source estimation”, in SEG Workshop on Using Multiples as Signal for Imaging; Denver, 2014.
, “Controlling linearization errors in $\ell_1$ regularized inversion by rerandomization”, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 4640-4644.
, “Interferometric redatuming with simultaneous and missing sources using sparsity promotion in the curvelet domain”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-7.
, “A parallel, object-oriented framework for frequency-domain wavefield imaging and inversion.”, Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, TR-EOAS-2012-2, 2012.
, “Probing the extended image volume”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 4045-4050.
, “A penalty method for PDE-constrained optimization with applications to wave-equation based seismic inversion”, in SEG Workshop on Computational Mathematics for Geophysics; Houston, 2013.