Gabrio Rizzuti

According to our database, Gabrio Rizzuti authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

InvertibleNetworks.jl: A Julia package for scalable normalizing flows.

Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann

J. Open Source Softw., 2024

2023

Learned multiphysics inversion with differentiable programming and machine learning.

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

CoRR, 2023

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification.

Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification.

Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast.

Gabrio Rizzuti, Alessandro Sbrizzi, Tristan van Leeuwen

IEEE Trans. Computational Imaging, 2022

Reliable amortized variational inference with physics-based latent distribution correction.

Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Felix J. Herrmann

CoRR, 2022

Accelerating innovation with software abstractions for scalable computational geophysics.

Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann

CoRR, 2022

2021

WaRIance: wavefield reconstruction inversion with stochastic variable projection.

Gabrio Rizzuti, Tristan van Leeuwen

CoRR, 2021

Preconditioned training of normalizing flows for variational inference in inverse problems.

Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann

CoRR, 2021

2020

Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows.

Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann

CoRR, 2020

Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization.

Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann

CoRR, 2020

Extended source imaging, a unifying framework for seismic & medical imaging.

Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann

CoRR, 2020

Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach.

Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann

CoRR, 2020

A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification.

Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann

CoRR, 2020

2019

Learned imaging with constraints and uncertainty quantification.

Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti

CoRR, 2019

2016

Multigrid-based 'shifted-Laplacian' preconditioning for the time-harmonic elastic wave equation.

Gabrio Rizzuti, Wim A. Mulder

J. Comput. Phys., 2016