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2022
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.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images”, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “De-risking GCS projects with explainable CO2 leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
Mathias Louboutin and Felix J. Herrmann, “Enabling wave-based inversion on GPUs with randomized trace estimation”, in EAGE Annual Conference Proceedings, 2022, p. Seismic Wave Modelling and Least Square Migration 2 session.
Felix J. Herrmann, “Introduction to 2022 ML4SEISMIC Partners Meeting”, ML4SEISMIC Partners Meeting. 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.
Mathias Louboutin, Kartha, Y., Rafael Orozco, and Felix J. Herrmann, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
Navjot Kukreja, Jan Hueckelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman, “Lossy Checkpoint Compression in Full Waveform Inversion”, Geoscientific Model Development, vol. 15, pp. 3815-3829, 2022.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, “Low-cost uncertainty quantification for large-scale inverse problems”, ML4SEISMIC Partners Meeting. 2022.
Felix J. Herrmann, “Meet our digital twin for geological carbon storage”, ML4SEISMIC Partners Meeting. 2022.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, and Felix J. Herrmann, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
Ting-ying Yu, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Monitoring with sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2022.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Normalizing flows for regularization of 3D seismic 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.
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Simulation-based framework for geological carbon storage monitoring”, ML4SEISMIC Partners Meeting. 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.

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