Biblio

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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.
Felix J. Herrmann, Digital twins in the era of generative AI, The Leading Edge, vol. 42, 2023.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Enhancing CO2 Leakage Detectability via Dataset Augmentation, in International Meeting for Applied Geoscience and Energy, 2023.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Improved automatic seismic CO2 leakage detection via dataset augmentation, ML4SEISMIC Partners Meeting. 2023.
Ziyi Yin, Introduction to Seismic Laboratory for Imaging and Modeling, CSE Student Recruiting Event. 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.
Richard Rex, Thomas J. Grady II, Rishi Khan, Ziyi Yin, and Felix J. Herrmann, Large-scale parametric PDE approximations with model-parallel Fourier neural operators, ML4SEISMIC Partners Meeting. 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.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs, Computers & Geosciences, vol. 178, p. 105402, 2023.
Abhinav Prakash Gahlot, Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring subsurface CO2 plumes with learned sequential Bayesian inference, ML4SEISMIC Partners Meeting. 2023.
Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference, in International Meeting for Applied Geoscience and Energy, 2023.
Felix J. Herrmann, Mathias Louboutin, Thomas J. Grady II, Ziyi Yin, and Rishi Khan, The Next Step: Interoperable Domain-Specific Programming, in SIAM Conference on Computational Science and Engineering, 2023.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Solving multiphysics-based inverse problems with learned surrogates and constraints, Advanced Modeling and Simulation in Engineering Sciences, vol. 10, 2023.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Solving PDE-based inverse problems with learned surrogates and constraints, HotCSE Seminar. 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.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISE: Full-waveform Inference with Subsurface Extensions, ML4SEISMIC Partners Meeting. 2023.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISE: full-Waveform variational Inference via Subsurface Extensions. 2023.

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