Biblio

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2023
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, 3D seismic survey design by maximizing the spectral gap, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification, in SPIE Medical Imaging Conference, 2023.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Amortized normalizing flows for transcranial ultrasound with uncertainty quantification, in Medical Imaging with Deep Learning, 2023.
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, InvertibleNetworks.jl: A Julia package for scalable normalizing flows. 2023.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, Learned multiphysics inversion with differentiable programming and machine learning, The Leading Edge, vol. 42, pp. 452-516, 2023.
Mathias Louboutin, Rafael Orozco, Ali Siahkoohi, and Felix J. Herrmann, Learned non-linear simultenous source and corresponding supershot for seismic imaging., in International Meeting for Applied Geoscience and Energy, 2023.
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, Optimized time-lapse acquisition design via spectral gap ratio minimization, Geophysics, vol. 88, pp. A19-A23, 2023.
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Reliable amortized variational inference with physics-based latent distribution correction, Geophysics, vol. 88, 2023.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, and Felix J. Herrmann, Uncertainty-aware time-lapse monitoring of geological carbon storage with learned surrogates, in Engineering Mechanics Institute Conference, 2023.
2022
Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Yijun Zhang, Philipp A. Witte, Gabrio Rizzuti, and Felix J. Herrmann, Abstractions for at-scale seismic inversion, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, Accelerating innovation with software abstractions for scalable computational geophysics, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Adjoint operators as summary functions in amortized Bayesian inference frameworks, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Amortized velocity continuation with Fourier neural operators, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Deep Bayesian inference for seismic imaging with tasks, Geophysics, vol. 87, pp. 281-302, 2022.
Ali Siahkoohi, Deep generative models for solving geophysical inverse problems, Georgia Institute of Technology, Atlanta, 2022.
Ziyi Yin, Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Henryk Modzelewski, and Felix J. Herrmann, Julia for Geoscience, Transform. 2022.
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Low-cost uncertainty quantification for large-scale inverse problems, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, and Felix J. Herrmann, A simulation-free seismic survey design by maximizing the spectral gap, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, Oscar Lopez, and Felix J. Herrmann, Time-lapse seismic survey design by maximizing the spectral gap, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Chinen, M., Denton, T., W. Kleijn, B., and Skoglund, J., Ultra-Low-Bitrate Speech Coding with Pretrained Transformers, in Proceedings of INTERSPEECH, 2022.
Ziyi Yin, Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Uncertainty-aware time-lapse CO$_2$ monitoring with learned end-to-end inversion, ML4SEISMIC Partners Meeting. 2022.

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