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Resolving scaling ambiguities with the ℓ1/ℓ2 norm in a blind deconvolution problem with feedback., , , and . CAMSAP, page 365-368. IEEE, (2015)Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach., , and . CoRR, (2020)The deconvolution of seismic data as a fluctuation analysis., , , , and . Integr. Comput. Aided Eng., 12 (1): 25-42 (2005)Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction., , , and . IEEE J. Sel. Top. Signal Process., 10 (4): 658-671 (2016)Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification., , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Time-lapse full-waveform permeability inversion: a feasibility study., , , and . CoRR, (2024)BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration., , and . CoRR, (2024)Graph Spectrum Based Seismic Survey Design., , , and . CoRR, (2022)Solving multiphysics-based inverse problems with learned surrogates and constraints., , , and . Adv. Model. Simul. Eng. Sci., 10 (1): 14 (December 2023)Low-memory stochastic backpropagation with multi-channel randomized trace estimation., , , and . CoRR, (2021)