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Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Derisking geological carbon storage from high-resolution time-lapse seismic to explainable leakage detection, The Leading Edge, vol. 42, pp. 69-76, 2023.
Felix J. Herrmann, Digital twins in the era of generative AI, The Leading Edge, vol. 42, 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.
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.
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.
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, and Felix J. Herrmann, Solving multiphysics-based inverse problems with learned surrogates and constraints, Advanced Modeling and Simulation in Engineering Sciences, vol. 10, 2023.
Oscar Lopez, Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, Spectral Gap-Based Seismic Survey Design, IEEE Transactions on Geoscience and Remote Sensing, 2023.
Mathias Louboutin and Felix J. Herrmann, Wave-based inversion at scale on GPUs with randomized trace estimation, Geophysical Prospecting, 2023.