Biblio
Export 57 results:
Author [ Title] Type Year Filters: Author is Philipp A. Witte [Clear All Filters]
“Time-domain sparsity-promoting least-squares migration with source estimation”, SINBAD Fall consortium talks. SINBAD, 2016.
, “Time-domain sparsity-promoting least-squares migration with source estimation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 4225-4229.
, “Time-domain sparsity promoting least-squares reverse time migration with source estimation”, Geophysical Prospecting, vol. 68, pp. 2697-2711, 2020.
, “Time-domain least-squares RTM with sparsity promotion on field data”, SINBAD Fall consortium talks. SINBAD, 2016.
, “Time-domain FWI in TTI media”, SINBAD Fall consortium talks. SINBAD, 2015.
, “Time-domain FWI in TTI media”, in Inaugural Full-Waveform Inversion Workshop, 2015.
, “Sparsity-promoting least-squares migration with the linearized inverse scattering imaging condition”, in EAGE Annual Conference Proceedings, 2017.
, “Sparsity-promoting least-square migration with linearized Bregman and compressive sensing”, in Inaugural Full-Waveform Inversion Workshop, 2015.
, “Software and algorithms for large-scale seismic inverse problems”, Georgia Institute of Technology, Atlanta, 2020.
, “Serverless seismic imaging in the cloud”, in Rice Oil and Gas High Performance Computing Conference 2020, 2020.
, “Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows”, in AGU Annual Meeting, 2021, p. U12A-03.
, “Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks”, in SIAM Conference on Imaging Science, 2020.
, “Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito”, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
, “Redwood – towards clusterless supercomputing in the cloud”, ML4SEISMIC Partners Meeting. 2021.
, “Preconditioned training of normalizing flows for variational inference in inverse problems”, in 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.
, “The power of abstraction in Computational Exploration Seismology”, in Smoky Mountains Computational Sciences and Engineering Conference, 2018.
, “Phase velocity error minimizing scheme for the anisotropic pure P-wave equation”, SINBAD Fall consortium talks. SINBAD, 2016.
, “Phase velocity error minimizing scheme for the anisotropic pure P-wave equation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 452-457.
, “Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
, “Overview on anisotropic modeling and inversion”, UBC, TR-EOAS-2015-6, 2015.
, “Multifidelity conditional normalizing flows for physics-guided Bayesian inference”, ML4SEISMIC Partners Meeting. 2021.
, “Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs”, Computers & Geosciences, vol. 178, p. 105402, 2023.
, “Low-cost time-lapse seismic imaging of CCS with the joint recovery model”, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
, “A linearized Bregman method for compressive waveform inversion”, in SEG Technical Program Expanded Abstracts, 2016, pp. 1449-1454.
, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.
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