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ORCIDGabrio Rizzuti
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Journal Articles
- 2024
[j3]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. J. Open Source Softw. 9(99): 6554 (2024)- 2022
- [j2]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: 490-504 (2022) - 2016
- [j1]Gabrio Rizzuti, Wim A. Mulder:
Multigrid-based 'shifted-Laplacian' preconditioning for the time-harmonic elastic wave equation. J. Comput. Phys. 317: 47-65 (2016)
Conference and Workshop Papers
- 2023
- [c2]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: 332-349 - [c1]Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann:
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Image Processing 2023
Informal and Other Publications
- 2023
- [i13]Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann:
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR abs/2303.03478 (2023) - [i12]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 abs/2304.05592 (2023) - [i11]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 abs/2312.13480 (2023) - 2022
- [i10]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 abs/2203.15038 (2022) - [i9]Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Felix J. Herrmann:
Reliable amortized variational inference with physics-based latent distribution correction. CoRR abs/2207.11640 (2022) - 2021
- [i8]Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann:
Preconditioned training of normalizing flows for variational inference in inverse problems. CoRR abs/2101.03709 (2021) - [i7]Gabrio Rizzuti, Tristan van Leeuwen:
WaRIance: wavefield reconstruction inversion with stochastic variable projection. CoRR abs/2112.10550 (2021) - 2020
- [i6]Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann:
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification. CoRR abs/2001.04567 (2020) - [i5]Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann:
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach. CoRR abs/2004.00227 (2020) - [i4]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 abs/2004.07389 (2020) - [i3]Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann:
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization. CoRR abs/2004.07871 (2020) - [i2]Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann:
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows. CoRR abs/2007.07985 (2020) - 2019
- [i1]Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti:
Learned imaging with constraints and uncertainty quantification. CoRR abs/1909.06473 (2019)
Coauthor Index
aka: Felix Johan Herrmann
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