Biblio
Export 90 results:
Author Title [ Type
] Year Filters: First Letter Of Last Name is O [Clear All Filters]
, “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.
, “Photoacoustic Imaging with Conditional Priors from Normalizing Flows”, in Neural Information Processing Systems (NeurIPS), 2021.
, “Randomization and repeatability in time-lapse marine acquisition”, in SEG Technical Program Expanded Abstracts, 2014, pp. 46-51.
, “Randomization and repeatability in time-lapse marine acquisition”, in EAGE Workshop on Land and Ocean Bottom; Broadband Full Azimuth Seismic Surveys; Spain, 2014.
, “Randomized sampling without repetition in time-lapse surveys”, in SEG Technical Program Expanded Abstracts, 2014, pp. 4848-4852.
, “Re-establishment of gradient in frequency-domain elastic waveform inversion”, in CSEG Annual Conference Proceedings, 2012.
, “Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics”, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
, “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.
, “Time-lapse FWI with distributed compressed sensing”, in Inaugural Full-Waveform Inversion Workshop, 2015.
, “Time-lapse seismic without repetition: reaping the benefits from randomized sampling and joint recovery”, in EAGE Annual Conference Proceedings, 2014.
, “An Uncertainty-Aware Digital Twin for Geological Carbon Storage”, in SIAM Conference on Uncertainty Quantification, 2024.
, “Uncertainty-aware time-lapse monitoring of geological carbon storage with learned surrogates”, in Engineering Mechanics Institute Conference, 2023.
, “Using common information in compressive time-lapse full-waveform inversion”, in EAGE Annual Conference Proceedings, 2015.
, “Wave-equation based inversion with amortized variational Bayesian inference”, in EAGE Annual Conference Proceedings, 2022, p. Session 2: Velocity model building and imaging (different domains).
, “WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Enhancing crustal reflection data through curvelet denoising”, Technophysics, vol. 508, pp. 106-116, 2011.
, “Highly repeatable time-lapse seismic with distributed Compressive Sensing–-mitigating effects of calibration errors”, The Leading Edge, vol. 36, pp. 688-694, 2017.
, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
, “Low-cost time-lapse seismic with distributed compressive sensing–-Part 2: impact on repeatability”, Geophysics, vol. 82, pp. P15-P30, 2017.
, “Low-cost time-lapse seismic with distributed compressive sensing–-Part 1: exploiting common information among the vintages”, Geophysics, vol. 82, pp. P1-P13, 2017.
, “Reliable amortized variational inference with physics-based latent distribution correction”, Geophysics, vol. 88, 2023.
, “Solving multiphysics-based inverse problems with learned surrogates and constraints”, Advanced Modeling and Simulation in Engineering Sciences, vol. 10, 2023.