Biblio

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2021
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Multifidelity conditional normalizing flows for physics-guided Bayesian inference, ML4SEISMIC Partners Meeting. 2021.
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Photoacoustic Imaging with Conditional Priors from Normalizing Flows, in Neural Information Processing Systems (NeurIPS), 2021.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Preconditioned training of normalizing flows for variational inference in inverse problems, in 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.
Yuxiao Ren, Philipp A. Witte, Ali Siahkoohi, Mathias Louboutin, Ziyi Yin, and Felix J. Herrmann, Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows, in AGU Annual Meeting, 2021, p. U12A-03.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, Time-domain Wavefield Reconstruction Inversion for large-scale seismic inversion, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2021.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach, ML4SEISMIC Partners Meeting. 2021.
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Variational inference for artifact removal of adjoint solutions in photoacoustic problems, ML4SEISMIC Partners Meeting. 2021.
2020
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification, in EAGE Annual Conference Proceedings, 2020.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification, GT SEG Student Chapter. 2020.
Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, Extended source imaging –- a unifying framework for seismic and medical imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 3502-3506.
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, and Felix J. Herrmann, Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows, Georgia Institute of Technology, TR-CSE-2020-2, 2020.
Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, and Felix J. Herrmann, Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
Ali Siahkoohi, Philipp A. Witte, Mathias Louboutin, Felix J. Herrmann, and Gabrio Rizzuti, Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks, in SIAM Conference on Imaging Science, 2020.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, Time-domain wavefield reconstruction inversion for large-scale seismics, in EAGE Annual Conference Proceedings, 2020.
Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, Time-domain Wavefield Reconstruction Inversion in a TTI medium, Georgia Institute of Technology, TR-CSE-2020-1, 2020.
Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, Time-Domain Wavefield Reconstruction Inversion In Tilted Transverse Isostropic Media, in SIAM Texas-Louisiana, 2020.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, and Felix J. Herrmann, Unsupervised data-guided uncertainty analysis in imaging and horizon tracking, in SIAM Texas-Louisiana, 2020.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Weak deep priors for seismic imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 2998-3002.

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