Gabrio Rizzuti

18 papers B 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	InvertibleNetworks.jl: A Julia package for scalable normalizing flows. J. Open Source Softw. Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
2023	B	`conf`	Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Image Processing Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
2023	—	`conf`	Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. MIDL Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann
2023	J	`jnl`	Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
2023	J	`jnl`	InvertibleNetworks.jl: A Julia package for scalable normalizing flows. CoRR Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, Felix J. Herrmann
2023	J	`jnl`	Learned multiphysics inversion with differentiable programming and machine learning. CoRR 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
2022	J	`jnl`	Accelerating innovation with software abstractions for scalable computational geophysics. CoRR Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann
2022	J	`jnl`	Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast. IEEE Trans. Computational Imaging Gabrio Rizzuti, Alessandro Sbrizzi, Tristan van Leeuwen
2022	J	`jnl`	Reliable amortized variational inference with physics-based latent distribution correction. CoRR Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Felix J. Herrmann
2021	J	`jnl`	Preconditioned training of normalizing flows for variational inference in inverse problems. CoRR Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann
2021	J	`jnl`	WaRIance: wavefield reconstruction inversion with stochastic variable projection. CoRR Gabrio Rizzuti, Tristan van Leeuwen
2020	J	`jnl`	A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification. CoRR Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
2020	J	`jnl`	Extended source imaging, a unifying framework for seismic & medical imaging. CoRR Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann
2020	J	`jnl`	Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows. CoRR Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann
2020	J	`jnl`	Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization. CoRR Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann
2020	J	`jnl`	Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach. CoRR Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
2019	J	`jnl`	Learned imaging with constraints and uncertainty quantification. CoRR Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti
2016	J	`jnl`	Multigrid-based 'shifted-Laplacian' preconditioning for the time-harmonic elastic wave equation. J. Comput. Phys. Gabrio Rizzuti, Wim A. Mulder