Gabrio Rizzuti

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 17

Top Topics

Dempster Shafer

Variational Inference

Motion Correction

Inverse Problems

Top Venues

J. Comput. Phys.

IEEE Trans. Computational Imaging

Publications

Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Medical Imaging: Image Processing (2023)
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
InvertibleNetworks.jl: A Julia package for scalable normalizing flows. CoRR (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. MIDL (2023)
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, Felix J. Herrmann
Learned multiphysics inversion with differentiable programming and machine learning. CoRR (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR (2023)
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Felix J. Herrmann
Reliable amortized variational inference with physics-based latent distribution correction. CoRR (2022)
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann
Accelerating innovation with software abstractions for scalable computational geophysics. CoRR (2022)
Gabrio Rizzuti, Alessandro Sbrizzi, Tristan van Leeuwen
Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast. IEEE Trans. Computational Imaging 8 (2022)
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann
Preconditioned training of normalizing flows for variational inference in inverse problems. CoRR (2021)
Gabrio Rizzuti, Tristan van Leeuwen
WaRIance: wavefield reconstruction inversion with stochastic variable projection. CoRR (2021)
Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification. CoRR (2020)
Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach. CoRR (2020)
Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization. CoRR (2020)
Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann
Extended source imaging, a unifying framework for seismic & medical imaging. CoRR (2020)
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows. CoRR (2020)
Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti
Learned imaging with constraints and uncertainty quantification. CoRR (2019)
Gabrio Rizzuti, Wim A. Mulder
Multigrid-based 'shifted-Laplacian' preconditioning for the time-harmonic elastic wave equation. J. Comput. Phys. 317 (2016)