Biblio

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2021
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Deep Bayesian Inference for Task-based Seismic Imaging, in KAUST, 2021.
Rajiv Kumar, Maria Kotsi, Ali Siahkoohi, and Alison Malcolm, Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example, in SEG Technical Program Expanded Abstracts, 2021, pp. 1515-1519.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Fast and reliability-aware seismic imaging with conditional normalizing flows, in Intelligent illumination of the Earth, 2021.
Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, InvertibleNetworks.jl - Memory efficient deep learning in Julia, in JuliaCon, 2021.
Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, Learned wave-based imaging - variational inference at scale, in Delft, 2021.
Ali Siahkoohi and Felix J. Herrmann, Learning by example: fast reliability-aware seismic imaging with normalizing flows, in SEG Technical Program Expanded Abstracts, 2021, pp. 1580-1585.
Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, and Felix J. Herrmann, Low-memory stochastic backpropagation with multi-channel randomized trace estimation, TR-CSE-2021-1, 2021.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, ML@scale using randomized linear algebra, in Microsoft, 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.
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.

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