Gabrio Rizzuti
Orcid: 0000-0001-7777-6622
According to our database1,
Gabrio Rizzuti
authored at least 16 papers
between 2016 and 2023.
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Bibliography
2023
CoRR, 2023
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification.
Proceedings of the Medical Imaging with Deep Learning, 2023
2022
Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast.
IEEE Trans. Computational Imaging, 2022
Reliable amortized variational inference with physics-based latent distribution correction.
CoRR, 2022
Accelerating innovation with software abstractions for scalable computational geophysics.
CoRR, 2022
2021
CoRR, 2021
Preconditioned training of normalizing flows for variational inference in inverse problems.
CoRR, 2021
2020
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows.
CoRR, 2020
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization.
CoRR, 2020
CoRR, 2020
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach.
CoRR, 2020
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification.
CoRR, 2020
2019
2016
Multigrid-based 'shifted-Laplacian' preconditioning for the time-harmonic elastic wave equation.
J. Comput. Phys., 2016