Biblio
Export 137 results:
Author Title [ Type] Year Filters: Author is Mathias Louboutin [Clear All Filters]
“Ultra-low memory seismic inversion with randomized trace estimation”, in SEG Technical Program Expanded Abstracts, 2021, pp. 787-791.
, “Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Time-Domain Wavefield Reconstruction Inversion In Tilted Transverse Isostropic Media”, in SIAM Texas-Louisiana, 2020.
, “Time-domain wavefield reconstruction inversion for large-scale seismics”, in EAGE Annual Conference Proceedings, 2020.
, “Time-domain Wavefield Reconstruction Inversion for large-scale seismic inversion”, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2021.
, “Time-domain FWI in TTI media”, in Inaugural Full-Waveform Inversion Workshop, 2015.
, “Time compressively sampled full-waveform inversion with stochastic optimization”, in SEG Technical Program Expanded Abstracts, 2015, pp. 5153-5157.
, “Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources”, in IEEE International Parallel and Distributed Processing Symposium, 2021.
, “Sparsity-promoting photoacoustic imaging with source estimation”, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 206-212.
, “Sparsity-promoting least-square migration with linearized Bregman and compressive sensing”, in Inaugural Full-Waveform Inversion Workshop, 2015.
, “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.
, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “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.
, “Regularizing waveform inversion by projections onto convex sets”, in Inaugural Full-Waveform Inversion Workshop, 2015.
, “Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics”, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
, “Raising the abstraction to separate concerns: enabling different physics for geophysical exploration”, in SIAM Conference on Computational Science and Engineering, 2017.
, “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.
, “Optimised finite difference computation from symbolic equations”, in Python in Science Conference Proceedings, 2017, pp. 89-96.
, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in SIAM Conference on Uncertainty Quantification, 2024.
, “The Next Step: Interoperable Domain-Specific Programming”, in SIAM Conference on Computational Science and Engineering, 2023.
, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”, in International Meeting for Applied Geoscience and Energy, 2023.
, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
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